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BINOMIAL APPROXIMATION

  • Binomial approximation
  • Approximation of powers of some binomials

    The binomial approximation is useful for approximately calculating powers of sums of 1 and a small number x. It states that ( 1 + x ) α ≈ 1 + α x . {\displaystyle

    Binomial approximation

    Binomial_approximation

  • Binomial distribution
  • Probability distribution

    hypergeometric distribution, not a binomial one. However, for N much larger than n, the binomial distribution remains a good approximation, and is widely used. If

    Binomial distribution

    Binomial distribution

    Binomial_distribution

  • Binomial proportion confidence interval
  • Statistical confidence interval for success counts

    with a normal distribution. The normal approximation depends on the de Moivre–Laplace theorem (the original, binomial-only version of the central limit theorem)

    Binomial proportion confidence interval

    Binomial_proportion_confidence_interval

  • Approximation
  • Something roughly the same as something else

    An approximation is anything that is intentionally similar but not exactly equal to something else. The word approximation is derived from Latin approximatus

    Approximation

    Approximation

  • Binomial series
  • Mathematical series

    In mathematics, the binomial series is a generalization of the binomial formula to cases where the exponent is not a positive integer: where α {\displaystyle

    Binomial series

    Binomial_series

  • Binomial theorem
  • Algebraic expansion of powers of a binomial

    Mathematics portal Binomial approximation Binomial distribution Binomial inverse theorem Binomial coefficient Stirling's approximation Tannery's theorem Polynomials

    Binomial theorem

    Binomial_theorem

  • Linear approximation
  • Approximation of a function by its tangent line at a point

    In mathematics, a linear approximation is an approximation of a general function using a linear function (more precisely, an affine function). They are

    Linear approximation

    Linear approximation

    Linear_approximation

  • Binomial coefficient
  • Number of subsets of a given size

    mathematics, the binomial coefficients are the positive integers that occur as coefficients in the binomial theorem. Commonly, a binomial coefficient is

    Binomial coefficient

    Binomial coefficient

    Binomial_coefficient

  • Binomial test
  • Test of statistical significance

    samples these approximations break down, and there is no alternative to the binomial test. The most usual (and easiest) approximation is through the

    Binomial test

    Binomial_test

  • Speed of sound
  • Speed of sound wave through elastic medium

    {\sqrt {1+{\frac {\theta }{273.15}}}}\\\end{aligned}}} Finally, the binomial approximation (assuming θ is very close to 0) of the remaining square root yields

    Speed of sound

    Speed of sound

    Speed_of_sound

  • Fresnel zone
  • Region of space between a transmitting and receiving antenna

    {\displaystyle P} are much larger than the radius and applying the binomial approximation for the square root, 1 + x ≈ 1 + x / 2 {\displaystyle {\sqrt {1+x}}\approx

    Fresnel zone

    Fresnel zone

    Fresnel_zone

  • Poisson binomial distribution
  • Probability distribution

    doi:10.1214/19-EJP380. Ehm, Werner (1991-01-01). "Binomial approximation to the Poisson binomial distribution". Statistics & Probability Letters. 11

    Poisson binomial distribution

    Poisson_binomial_distribution

  • Taylor series
  • Mathematical approximation of a function

    \end{aligned}}} When only the linear term is retained, this simplifies to the binomial approximation. The usual trigonometric functions and their inverses have the following

    Taylor series

    Taylor series

    Taylor_series

  • List of factorial and binomial topics
  • filters) Binomial series Binomial theorem Binomial transform Binomial type Carlson's theorem Catalan number Fuss–Catalan number Central binomial coefficient

    List of factorial and binomial topics

    List_of_factorial_and_binomial_topics

  • Gravitational energy
  • Type of potential energy

    constant over h, then this expression can be simplified using the binomial approximation 1 1 + h / R ≈ 1 − h R {\displaystyle {\frac {1}{1+h/R}}\approx 1-{\frac

    Gravitational energy

    Gravitational energy

    Gravitational_energy

  • Binomial QMF
  • A binomial QMF – properly an orthonormal binomial quadrature mirror filter – is an orthogonal wavelet developed in 1990. The binomial QMF bank with perfect

    Binomial QMF

    Binomial_QMF

  • Perimeter of an ellipse
  • perimeter of an ellipse. Throughout history, a large number of closed-form approximations and expressions in terms of integrals or series have been given for

    Perimeter of an ellipse

    Perimeter of an ellipse

    Perimeter_of_an_ellipse

  • Kinetic energy
  • Energy of a moving physical body

    approximated well by the classical kinetic energy. To see this, apply the binomial approximation or take the first two terms of the Taylor expansion in powers of

    Kinetic energy

    Kinetic energy

    Kinetic_energy

  • Poisson distribution
  • Discrete probability distribution

    approximation of the binomial distribution if n is sufficiently large and p is sufficiently small. The Poisson distribution is a good approximation of

    Poisson distribution

    Poisson distribution

    Poisson_distribution

  • Binomial options pricing model
  • Numerical method for the valuation of financial options

    assumptions underpin both the binomial model and the Black–Scholes model, and the binomial model thus provides a discrete time approximation to the continuous process

    Binomial options pricing model

    Binomial_options_pricing_model

  • Hypergeometric distribution
  • Discrete probability distribution

    [math.PR]. unpublished note The Hypergeometric Distribution and Binomial Approximation to a Hypergeometric Random Variable by Chris Boucher, Wolfram Demonstrations

    Hypergeometric distribution

    Hypergeometric distribution

    Hypergeometric_distribution

  • Pascal's triangle
  • Triangular array of the binomial coefficients

    mathematics, Pascal's triangle is an infinite triangular array of the binomial coefficients which play a crucial role in probability theory, combinatorics

    Pascal's triangle

    Pascal's_triangle

  • De Moivre–Laplace theorem
  • Convergence in distribution of binomial to normal distribution

    theorem, states that the normal distribution may be used as an approximation to the binomial distribution under certain conditions. In particular, the theorem

    De Moivre–Laplace theorem

    De Moivre–Laplace theorem

    De_Moivre–Laplace_theorem

  • Factorial
  • Product of numbers from 1 to n

    the late 18th and early 19th centuries. Stirling's approximation provides an accurate approximation to the factorial of large numbers, showing that it

    Factorial

    Factorial

  • Stein's method
  • Method in probability theory

    1007/BF00533704. S2CID 121725342. Ehm, W. (1991). "Binomial approximation to the Poisson binomial distribution". Statistics & Probability Letters. 11

    Stein's method

    Stein's_method

  • Finite difference
  • Discrete analog of a derivative

    differences (or the associated difference quotients) are often used as approximations of derivatives, such as in numerical differentiation. The difference

    Finite difference

    Finite_difference

  • Taylor's theorem
  • Approximation of a function by a polynomial

    In calculus, Taylor's theorem gives an approximation of a k {\textstyle k} -times differentiable function around a given point by a polynomial of degree

    Taylor's theorem

    Taylor's theorem

    Taylor's_theorem

  • Continuity correction
  • Approximation in mathematics

    Press. ISBN 0-534-24264-2. Feller, W. (1945). "On the normal approximation to the binomial distribution". The Annals of Mathematical Statistics. 16 (4):

    Continuity correction

    Continuity_correction

  • Fresnel diffraction
  • Near-field diffraction

    ^{4}}{8z^{3}}}+\cdots \end{aligned}}} If we consider all the terms of binomial series, then there is no approximation. Let us substitute this expression in the argument

    Fresnel diffraction

    Fresnel diffraction

    Fresnel_diffraction

  • Sturges's rule
  • Statistical rule of thumb

    selection method. Sturges's rule comes from the binomial distribution which is used as a discrete approximation to the normal distribution. If the function

    Sturges's rule

    Sturges's_rule

  • Central binomial coefficient
  • Sequence of numbers ((2n) choose (n))

    In mathematics the nth central binomial coefficient is the particular binomial coefficient ( 2 n n ) = ( 2 n ) ! ( n ! ) 2  for all  n ≥ 0. {\displaystyle

    Central binomial coefficient

    Central binomial coefficient

    Central_binomial_coefficient

  • Poisson limit theorem
  • Probability Theory

    theorem states that the Poisson distribution may be used as an approximation to the binomial distribution, under certain conditions. The theorem was named

    Poisson limit theorem

    Poisson limit theorem

    Poisson_limit_theorem

  • Stochastic approximation
  • Family of iterative methods

    Stochastic approximation methods are a family of iterative methods typically used for root-finding problems or for optimization problems. The recursive

    Stochastic approximation

    Stochastic_approximation

  • Conway–Maxwell–binomial distribution
  • Discrete probability distribution

    n\rightarrow \infty } . This result generalises the classical Poisson approximation of the binomial distribution. Let X 1 , … , X n {\displaystyle X_{1},\ldots

    Conway–Maxwell–binomial distribution

    Conway–Maxwell–binomial_distribution

  • Binomial regression
  • Regression analysis technique

    In statistics, binomial regression is a regression analysis technique in which the response (often referred to as Y) has a binomial distribution: it is

    Binomial regression

    Binomial_regression

  • Chi-squared distribution
  • Probability distribution and special case of gamma distribution

    that the exact binomial test is always more powerful than the normal approximation. Lancaster shows the connections among the binomial, normal, and chi-squared

    Chi-squared distribution

    Chi-squared distribution

    Chi-squared_distribution

  • Summation
  • Addition of several numbers or other values

    {\displaystyle n^{k}=\sum _{i=0}^{n-1}\left((i+1)^{k}-i^{k}\right).} Using binomial theorem, this may be rewritten as: n k = ∑ i = 0 n − 1 ( ∑ j = 0 k − 1

    Summation

    Summation

  • Beta distribution
  • Probability distribution

    47, No. 1/2, June 1960, pp. 173–175 Pratt, John W. “A Normal Approximation for Binomial, F, Beta, and Other Common, Related Tail Probabilities, II.” Journal

    Beta distribution

    Beta distribution

    Beta_distribution

  • Birthday problem
  • Probability of shared birthdays

    {364}{365}}\right)^{253}\approx 0.500477.} Applying the Poisson approximation for the binomial on the group of 23 people, Poi ⁡ ( ( 23 2 ) 365 ) = Poi ⁡ (

    Birthday problem

    Birthday problem

    Birthday_problem

  • Error function
  • Sigmoid shape special function

    the desired interval of approximation. Another approximation is given by Sergei Winitzki using his "global Padé approximations": erf ⁡ ( x ) ≈ sgn ⁡ x

    Error function

    Error function

    Error_function

  • Beta negative binomial distribution
  • Compound probability distribution

    In probability theory, a beta negative binomial distribution is the probability distribution of a discrete random variable  X {\displaystyle X} equal to

    Beta negative binomial distribution

    Beta_negative_binomial_distribution

  • Ratio distribution
  • Probability distribution

    trial. A number of papers compare the robustness of different approximations for the binomial ratio.[citation needed] In the ratio of Poisson variables R

    Ratio distribution

    Ratio_distribution

  • Rule of three (statistics)
  • Rule in statistics

    parameter p of a binomial distribution that give Pr(X = 0) ≤ 0.05. The rule can then be derived either from the Poisson approximation to the binomial distribution

    Rule of three (statistics)

    Rule of three (statistics)

    Rule_of_three_(statistics)

  • Fisher's exact test
  • Statistical significance test

    (e.g., p-value) can be calculated exactly, rather than relying on an approximation that becomes exact in the limit as the sample size grows to infinity

    Fisher's exact test

    Fisher's_exact_test

  • Abraham de Moivre
  • French mathematician (1667–1754)

    unpublished result of 1733, which is the first statement of an approximation to the binomial distribution in terms of what we now call the normal or Gaussian

    Abraham de Moivre

    Abraham de Moivre

    Abraham_de_Moivre

  • Daubechies wavelet
  • Orthogonal wavelets

    a scaling sequence of an orthogonal discrete wavelet transform with approximation order A, a ( Z ) = 2 1 − A ( 1 + Z ) A p ( Z ) , {\displaystyle

    Daubechies wavelet

    Daubechies wavelet

    Daubechies_wavelet

  • Least squares
  • Approximation method in statistics

    mild-conditions are satisfied (e.g. for normal, exponential, Poisson and binomial distributions), standardized least-squares estimates and maximum-likelihood

    Least squares

    Least squares

    Least_squares

  • List of most luminous stars
  • Stars sorted by absolute magnitude

    determining d implies an error ~2× as large (thus 20%) in luminosity (see binomial approximation). Stellar distances are only directly measured accurately out to

    List of most luminous stars

    List of most luminous stars

    List_of_most_luminous_stars

  • Delta method
  • Method in statistics

    increases, since it would help reduce the variance, and thus the Taylor approximation would be applied to a smaller range of the function g at the point of

    Delta method

    Delta_method

  • Longest word in English
  • word in English, and has since been used[citation needed] in a close approximation of its originally intended meaning, lending at least some degree of

    Longest word in English

    Longest_word_in_English

  • Gamma function
  • Extension of the factorial function

    example of binomial coefficients motivates why the properties of the gamma function when extended to negative numbers are natural. A binomial coefficient

    Gamma function

    Gamma function

    Gamma_function

  • Multinomial theorem
  • Generalization of the binomial theorem to other polynomials

    of the terms in that sum. It is the generalization of the binomial theorem from binomials to multinomials. For any positive integer m and any non-negative

    Multinomial theorem

    Multinomial_theorem

  • Fermi problem
  • Estimation problem in physics or engineering

    or engineering education, designed to teach dimensional analysis or approximation of extreme scientific calculations. Fermi problems are usually back-of-the-envelope

    Fermi problem

    Fermi_problem

  • Square root algorithms
  • Algorithms for calculating square roots

    these algorithms typically construct a series of increasingly accurate approximations. Most square root computation methods are iterative: after choosing

    Square root algorithms

    Square_root_algorithms

  • Bernstein polynomial
  • Type of polynomial used in Numerical Analysis

    by the Binomial distribution. The expectation of this approximation technique is polynomial, as it is the expectation of a function of a binomial RV. The

    Bernstein polynomial

    Bernstein polynomial

    Bernstein_polynomial

  • Central limit theorem
  • Fundamental theorem in probability theory and statistics

    this theorem, that the normal distribution may be used as an approximation to the binomial distribution, is the de Moivre–Laplace theorem. Let ( X n )

    Central limit theorem

    Central limit theorem

    Central_limit_theorem

  • Ultrarelativistic limit
  • Motion extremely close to the speed of light

    energy can be approximated by first term of the γ {\displaystyle \gamma } binomial series: E k = ( γ − 1 ) m c 2 = 1 2 m v 2 + [ 3 8 m v 4 c 2 + . . . + m

    Ultrarelativistic limit

    Ultrarelativistic_limit

  • Poisson regression
  • Statistical model for count data

    log-linear model, especially when used to model contingency tables. Negative binomial regression is a popular generalization of Poisson regression because it

    Poisson regression

    Poisson_regression

  • Hankel matrix
  • Square matrix in which each ascending skew-diagonal from left to right is constant

    k . {\displaystyle b_{k}.} The Hankel transform is invariant under the binomial transform of a sequence. That is, if one writes c n = ∑ k = 0 n ( n k )

    Hankel matrix

    Hankel_matrix

  • Pearson's chi-squared test
  • Evaluates how likely it is that any difference between data sets arose by chance

    \left({\frac {O_{1}-np}{\sqrt {np(1-p)}}}\right)^{2}.} By the normal approximation to a binomial, this is the squared of one standard normal variate, and hence

    Pearson's chi-squared test

    Pearson's_chi-squared_test

  • Chi-squared test
  • Statistical hypothesis test

    test used in place of the 2 × 1 chi-squared test for goodness of fit, see binomial test. Cochran–Mantel–Haenszel chi-squared test. McNemar's test, used in

    Chi-squared test

    Chi-squared test

    Chi-squared_test

  • Power of two
  • Two raised to an integer power

    fifths and seven octaves is the Pythagorean comma. The sum of all n-choose binomial coefficients is equal to 2n. Consider the set of all n-digit binary integers

    Power of two

    Power of two

    Power_of_two

  • Le Cam's theorem
  • Probability theorem

    the independence requirement. Le Cam, L. (1960). "An Approximation Theorem for the Poisson Binomial Distribution". Pacific Journal of Mathematics. 10 (4):

    Le Cam's theorem

    Le_Cam's_theorem

  • Taylor's law
  • Empirical law on the variance of species in a habitat

    the Sundt-Jewel family are the Poisson, binomial, negative binomial (Pascal), extended truncated negative binomial and logarithmic series distributions.

    Taylor's law

    Taylor's_law

  • Normal distribution
  • Probability distribution

    discrete-to-continuum approximation and where infinitely divisible and decomposable distributions are involved, such as Binomial random variables, associated

    Normal distribution

    Normal distribution

    Normal_distribution

  • Gamma distribution
  • Probability distribution

    bounds and approximations would be similarly scaled by θ. K. P. Choi found the first five terms in a Laurent series asymptotic approximation of the median

    Gamma distribution

    Gamma distribution

    Gamma_distribution

  • Generalized linear model
  • Class of statistical models

    This is appropriate when the response variable can vary, to a good approximation, indefinitely in either direction, or more generally for any quantity

    Generalized linear model

    Generalized_linear_model

  • Empirical Bayes method
  • Bayesian statistical inference method

    this difference in perspective, empirical Bayes may be viewed as an approximation to a fully Bayesian treatment of a hierarchical model wherein the parameters

    Empirical Bayes method

    Empirical_Bayes_method

  • LogSumExp
  • Smooth approximation to the maximum function

    or multivariable softplus) function is a smooth maximum – a smooth approximation to the maximum function, mainly used by machine learning algorithms

    LogSumExp

    LogSumExp

  • Content validity
  • Measure has all parts of the construct

    close approximations to the normal approximation to the binomial distribution. By comparing Schipper's values to the newly calculated binomial values

    Content validity

    Content_validity

  • Scale space implementation
  • generalized binomial kernels leads to equivalent smoothing kernels that under reasonable conditions approach the Gaussian. Furthermore, the binomial kernels

    Scale space implementation

    Scale_space_implementation

  • Beta function
  • Mathematical function

    special function that is closely related to the gamma function and to binomial coefficients. It is defined by the integral B ( z 1 , z 2 ) = ∫ 0 1 t z

    Beta function

    Beta function

    Beta_function

  • Entropy (information theory)
  • Average uncertainty in variable's states

    In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential

    Entropy (information theory)

    Entropy_(information_theory)

  • Bernoulli process
  • Random process of binary (boolean) random variables

    trials, which has a binomial distribution B(n, p) The number of failures needed to get r successes, which has a negative binomial distribution NB(r, p)

    Bernoulli process

    Bernoulli process

    Bernoulli_process

  • Shapiro–Wilk test
  • Test of normality in frequentist statistics

    of calculating m and a lognormal approximation of W up to n = 2000, which could be used with an existing approximation of V, but the quadratic limitation

    Shapiro–Wilk test

    Shapiro–Wilk_test

  • Woodbury matrix identity
  • Theorem of matrix ranks

    (where U only has a few columns and V only a few rows), or finding an approximation of the inverse of the matrix A + B where the matrix B can be approximated

    Woodbury matrix identity

    Woodbury_matrix_identity

  • Yates's correction for continuity
  • Statistical method

    statistic requires one to assume that the discrete probability of observed binomial frequencies in the table can be approximated by the continuous chi-squared

    Yates's correction for continuity

    Yates's_correction_for_continuity

  • Polynomial sequence
  • Sequence valued in polynomials

    polynomials Touchard polynomials Rook polynomials Polynomial sequences of binomial type Orthogonal polynomials Secondary polynomials Sheffer sequence Sturm

    Polynomial sequence

    Polynomial_sequence

  • Clos network
  • Kind of multistage circuit-switching network

    Clos network was first devised, the number of crosspoints was a good approximation of the total cost of the switching system. While this was important

    Clos network

    Clos_network

  • Anscombe transform
  • Statistical concept

    transformation Anscombe, F. J. (1948), "The transformation of Poisson, binomial and negative-binomial data", Biometrika, vol. 35, no. 3–4, [Oxford University Press

    Anscombe transform

    Anscombe transform

    Anscombe_transform

  • Chebyshev polynomials
  • Pair of polynomial sequences

    Cornelius Lanczos showed that the Chebyshev polynomials are important in approximation theory for the solution of linear systems; the roots of Tn(x), which

    Chebyshev polynomials

    Chebyshev polynomials

    Chebyshev_polynomials

  • Trinomial tree
  • Model used in financial mathematics

    Pricing Options Using Trinomial Trees Binomial and Trinomial Trees Versus Bjerksund and Stensland Approximations for American Options Pricing On-Line Options

    Trinomial tree

    Trinomial_tree

  • Ruffini's rule
  • Polynomial division computation method

    method for computation of the Euclidean division of a polynomial by a binomial of the form x − r. It was described by Paolo Ruffini in 1809. The rule

    Ruffini's rule

    Ruffini's_rule

  • Big O notation
  • Describes approximate behavior of a function

    Bachmann–Landau notation. The letter O stands for Ordnung, that is, the order of approximation. In computer science, big O notation is used to classify algorithms

    Big O notation

    Big_O_notation

  • Exponential distribution
  • Probability distribution

    members, but also includes many other distributions, such as the normal, binomial, gamma, and Poisson distributions. The probability density function (pdf)

    Exponential distribution

    Exponential distribution

    Exponential_distribution

  • Hyperfactorial
  • Number computed as a product of powers

    In mathematics, and more specifically number theory, the hyperfactorial of a positive integer n {\displaystyle n} is the product of the numbers of the

    Hyperfactorial

    Hyperfactorial

  • Divergence-from-randomness model
  • it. D Divergence approximation of the binomial P Approximation of the binomial BE Bose-Einstein distribution G Geometric approximation of the Bose-Einstein

    Divergence-from-randomness model

    Divergence-from-randomness_model

  • Partition function (number theory)
  • Number of partitions of an integer

    of p ( N , M , n ) {\displaystyle p(N,M,n)} is the following Gaussian binomial coefficient: ∑ n = 0 ∞ p ( N , M , n ) q n = ( N + M M ) q = ( 1 − q N

    Partition function (number theory)

    Partition function (number theory)

    Partition_function_(number_theory)

  • Q-function
  • Statistics function

    bound. The geometric mean of the upper and lower bound gives a suitable approximation for Q ( x ) {\displaystyle Q(x)} : Q ( x ) ≈ ϕ ( x ) 1 + x 2 , x ≥ 0

    Q-function

    Q-function

    Q-function

  • Relationships among probability distributions
  • Topic in probability theory and statistics

    of a random variable); Combinations (function of several variables); Approximation (limit) relationships; Compound relationships (useful for Bayesian inference);

    Relationships among probability distributions

    Relationships among probability distributions

    Relationships_among_probability_distributions

  • Zero-inflated model
  • Statistical model allowing for frequent zero values

    counts is often represented using a Poisson distribution or a negative binomial distribution. Hilbe notes that "Poisson regression is traditionally conceived

    Zero-inflated model

    Zero-inflated_model

  • Polynomial
  • Type of mathematical expression

    meaning "many", and the Latin nomen, or "name". It was derived from the term binomial by replacing the Latin root bi- with the Greek poly-. That is, it means

    Polynomial

    Polynomial

  • Sierpiński triangle
  • Fractal composed of triangles

    triangle, so the following algorithm will again generate arbitrarily close approximations to it: Start by labeling p1, p2 and p3 as the corners of the Sierpiński

    Sierpiński triangle

    Sierpiński triangle

    Sierpiński_triangle

  • Pi
  • Number, approximately 3.14

    widely used historical approximations of the constant. Each approximation generated in this way is a best rational approximation; that is, each is closer

    Pi

    Pi

  • Heap (data structure)
  • Computer science data structure

    heap B-heap Beap Binary heap Binomial heap Brodal queue d-ary heap Fibonacci heap K-D Heap Leaf heap Leftist heap Skew binomial heap Strict Fibonacci heap

    Heap (data structure)

    Heap (data structure)

    Heap_(data_structure)

  • Bézier curve
  • Curve used in computer graphics and related fields

    approximation algorithms have been proposed and used in practice. The rational Bézier curve adds adjustable weights to provide closer approximations to

    Bézier curve

    Bézier curve

    Bézier_curve

  • Ali Akansu
  • Turkish-American mathematician (born 1958)

    subspace methods including sub-band and wavelet transforms, particularly the binomial QMF (also known as Daubechies wavelet) and the multivariate framework to

    Ali Akansu

    Ali_Akansu

  • List of theorems
  • theorem (number theory, Diophantine approximations) Dirichlet's approximation theorem (Diophantine approximations) Dirichlet's theorem on arithmetic progressions

    List of theorems

    List_of_theorems

  • Jacobian matrix and determinant
  • Matrix of partial derivatives of a vector-valued function

    product Jf(x) ⋅ h is another displacement vector, that is the best linear approximation of the change of f along h in a neighborhood of x, if f(x) is differentiable

    Jacobian matrix and determinant

    Jacobian_matrix_and_determinant

  • Mathematical finance
  • Application of mathematical and statistical methods in finance

    Pricing models Black–Scholes model Black model Binomial options model Implied binomial tree Edgeworth binomial tree Monte Carlo option model Implied volatility

    Mathematical finance

    Mathematical_finance

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Online names & meanings

  • GAËLLE
  • Female

    French

    GAËLLE

    Possibly a contracted form of French Gwenaëlle, GAËLLE means "holy and generous."

  • Anikait
  • Boy/Male

    Assamese, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Telugu

    Anikait

    Lord Krishna; Lord of the World

  • Redleigh
  • Boy/Male

    British, English

    Redleigh

    From the Red Meadow

  • Vyshnav
  • Boy/Male

    Hindu

    Vyshnav

    Vaishnava denotes Lord Vishnu

  • Trishan
  • Boy/Male

    Gujarati, Indian, Kannada

    Trishan

    Victory

  • Leonard
  • Surname or Lastname

    English and French (Léonard)

    Leonard

    English and French (Léonard) : from a Germanic personal name composed of the elements leo ‘lion’ (a late addition to the vocabulary of Germanic name elements, taken from Latin) + hard ‘hardy’, ‘brave’, ‘strong’, which was taken to England by the Normans. A saint of this name, who is supposed to have lived in the 6th century, but about whom nothing is known except for a largely fictional life dating from half a millennium later, was popular throughout Europe in the early Middle Ages and was regarded as the patron of peasants and horses.Irish (Fermanagh) : adopted as an English equivalent of Gaelic Mac Giolla Fhionáin or of Langan.Americanized form of Italian Leonardo or cognate forms in other European languages.The French Léonard family were at Château Richer, Quebec, by 1698, having come from Maine, France.

  • KAIKALA
  • Female

    Hawaiian

    KAIKALA

    Hawaiian name KAIKALA means "the sea and the sun."

  • Duffell
  • Surname or Lastname

    English

    Duffell

    English : variant of Duffield.

  • MASUYO
  • Female

    Japanese

    MASUYO

    (益世) Japanese name MASUYO means "benefit the world."

  • Vipula
  • Girl/Female

    Bengali, Gujarati, Hindu, Indian, Kannada, Malayalam, Marathi, Sanskrit, Telugu

    Vipula

    Plenty

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BINOMIAL APPROXIMATION

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BINOMIAL APPROXIMATION

  • Uncia
  • n.

    A numerical coefficient in any particular case of the binomial theorem.

  • Formula
  • n.

    A rule or principle expressed in algebraic language; as, the binominal formula.

  • Nomial
  • n.

    A name or term.

  • Trinomial
  • a.

    Consisting of three terms; of or pertaining to trinomials; as, a trinomial root.

  • Monomial
  • a.

    Consisting of but a single term or expression.

  • Trinomial
  • n.

    A quantity consisting of three terms, connected by the sign + or -; as, x + y + z, or ax + 2b - c2.

  • Binomial
  • n.

    An expression consisting of two terms connected by the sign plus (+) or minus (-); as, a + b, or 7 - 3.

  • Equation
  • n.

    An expression of the condition of equality between two algebraic quantities or sets of quantities, the sign = being placed between them; as, a binomial equation; a quadratic equation; an algebraic equation; a transcendental equation; an exponential equation; a logarithmic equation; a differential equation, etc.

  • Eocene
  • a.

    Pertaining to the first in time of the three subdivisions into which the Tertiary formation is divided by geologists, and alluding to the approximation in its life to that of the present era; as, Eocene deposits.

  • Monome
  • n.

    A monomial.

  • Occlusion
  • n.

    The transient approximation of the edges of a natural opening; imperforation.

  • Binominal
  • a.

    Of or pertaining to two names; binomial.

  • Trinominal
  • n. & a.

    Trinomial.

  • Binomial
  • a.

    Having two names; -- used of the system by which every animal and plant receives two names, the one indicating the genus, the other the species, to which it belongs.

  • Binomial
  • a.

    Consisting of two terms; pertaining to binomials; as, a binomial root.

  • Monomial
  • n.

    A single algebraic expression; that is, an expression unconnected with any other by the sign of addition, substraction, equality, or inequality.

  • Approximation
  • n.

    A continual approach or coming nearer to a result; as, to solve an equation by approximation.

  • Binominous
  • a.

    Binominal.

  • Sneezing
  • n.

    The act of violently forcing air out through the nasal passages while the cavity of the mouth is shut off from the pharynx by the approximation of the soft palate and the base of the tongue.

  • Say
  • v. t.

    To mention or suggest as an estimate, hypothesis, or approximation; hence, to suppose; -- in the imperative, followed sometimes by the subjunctive; as, he had, say fifty thousand dollars; the fox had run, say ten miles.