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Topics referred to by the same term
Look up resampling in Wiktionary, the free dictionary. Resampling may refer to: Resampling (audio), several related audio processes Resampling (statistics)
Resampling
Family of statistical methods based on sampling of available data
In statistics, resampling is the creation of new samples based on one observed sample. Resampling methods are: Permutation tests (also re-randomization
Resampling_(statistics)
Technique in signal processing
Lanczos filtering and Lanczos resampling are two applications of a certain mathematical formula. It can be used as a low-pass filter or used to smoothly
Lanczos_resampling
Statistical method for resampling
therefore, a form of resampling. It is especially useful for bias and variance estimation. The jackknife pre-dates other common resampling methods such as
Jackknife_resampling
Type of Monte Carlo algorithms for signal processing and statistical inference
it can be mitigated by including a resampling step before the weights become uneven. Several adaptive resampling criteria can be used including the variance
Particle_filter
Changing the resolution of a digital image
practice, the assumptions behind sinc resampling are not completely met by real-world digital images. Lanczos resampling, an approximation to the sinc method
Image_scaling
Statistical method
Bootstrapping is a procedure for estimating the distribution of an estimator by resampling (often with replacement) one's data or a model which is estimated from
Bootstrapping_(statistics)
Statistical test of whether two populations have equal means
extensively discussed in the statistical literature. Implementations of resampling-based variants of the Welch t-test are available in R, including permutation
Welch's_t-test
Changing the sampling rate of a discrete signal
to operating system level audio resampling, the media player software itself may implement high-quality audio resampling algorithms, but uses more CPU resources
Sample-rate_conversion
Distribution estimation technique
(2017). "Improving population Monte Carlo: Alternative weighting and resampling schemes". Signal Processing. 131: 77–91. arXiv:1607.02758. Bibcode:2017SigPr
Importance_sampling
Extension of cubic spline interpolation
often chosen over bilinear or nearest-neighbor interpolation in image resampling, when speed is not an issue. In contrast to bilinear interpolation, which
Bicubic_interpolation
Computer graphics techniques for reusing samples during rendering
Spatiotemporal reservoir resampling, commonly known as ReSTIR (from "Reservoir-based SpatioTemporal Importance Resampling"), is a collection of computer
Spatiotemporal reservoir resampling
Spatiotemporal_reservoir_resampling
Changing the speed or duration of an audio signal without affecting its pitch
respectively raises the pitch, creating the so-called Chipmunk effect. When resampling audio to a notably lower pitch, it may be preferred that the source audio
Audio time stretching and pitch scaling
Audio_time_stretching_and_pitch_scaling
Failure of convergence in interpolation
increasing polynomial order. When equidistant samples must be used because resampling on well-behaved sets of nodes is not feasible, the S-Runge algorithm can
Runge's_phenomenon
Statistical model validation technique
will generalize to an independent data set. Cross-validation includes resampling and sample splitting methods that use different portions of the data to
Cross-validation_(statistics)
Process of making something random
in the same order. Some important methods of statistical inference use resampling from the observed data. Multiple alternative versions of the data-set
Randomization
Python library for data analysis
Pandas (styled as pandas) is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers
Pandas_(software)
Exact statistical hypothesis test
and Permutation Tests Simon, J. L. (1997): Resampling: The New Statistics. Yu, Chong Ho (2003): Resampling methods: concepts, applications, and justification
Permutation_test
Filter used to construct a smooth analog signal from a digital input
continuous reconstruction filter to produce a discrete resampling filter, then using the discrete resampling filter to directly resample the image. For decimation
Reconstruction_filter
Process of using data analysis for predicting population data from sample data
{\displaystyle \mu (x)} is smooth. Also, relying on asymptotic normality or resampling, we can construct confidence intervals for the population feature, in
Statistical_inference
Graphics library
images, and multiple colors, supporting truecolor images, alpha channels, resampling, and many other features. The software was developed in 1994 by Thomas
GD_Graphics_Library
Resampling method
compression, and decimation are terms associated with the process of resampling in a multi-rate digital signal processing system. Both downsampling and
Downsampling (signal processing)
Downsampling_(signal_processing)
Arrangement of color elements in an image sensor or display
The components of the pixels (primary colors red, green and blue) in an image sensor or display can be ordered in different patterns, called pixel geometry
Pixel_geometry
Range to estimate an unknown parameter
expressed in terms of a long-run frequency in repeated samples (or in resampling): "Were this procedure to be repeated on numerous samples, the proportion
Confidence_interval
Perception of image sharpness that is unrelated to actual resolution
resampling often cause overshoot, which increases acutance, but can also reduce absolute gradient, which reduces acutance. Filtering and resampling can
Acutance
Method of interpolating functions on a 2D grid
quadratic in the sample location. Bilinear interpolation is one of the basic resampling techniques in computer vision and image processing, where it is also called
Bilinear_interpolation
Vibration analysis of rotating machinery
samples, and resampling the vibration signal according to this new time vector. As shown in the accompanying example, angular resampling resolves the
Condition-based maintenance of rotating machinery by vibration analysis
Condition-based_maintenance_of_rotating_machinery_by_vibration_analysis
Statistical property
be used as a Resampling method that respects the differences in the conditional variance of the error term. An alternative is resampling observations
Homoscedasticity and heteroscedasticity
Homoscedasticity_and_heteroscedasticity
Image viewer software for Windows
installer, zip, and a portable zip version. Thumbnail viewer (using Lanczos resampling algorithm) Crop Board and Draw Board Resizing, cropping, color correction
FastStone_Image_Viewer
Line of audio chips by Creative Technology
significant portion of the audio processing unit was devoted to this resampling engine. The SRC engine was far more capable than previous Creative sound
E-mu_20K
Statistical method for handling multiple comparisons
a resampling strategy is applied, where resampling steps are indexed with ( s = 1 , 2 , … , S ) {\textstyle (s=1,2,\ldots ,S)} . In each resampling step
False_discovery_rate
Signal (re-)construction algorithm
Anti-aliasing filter, Spatial anti-aliasing Rectangular function Sampling (signal processing) Signal (electronics) Sinc function, Sinc filter Lanczos resampling
Whittaker–Shannon interpolation formula
Whittaker–Shannon_interpolation_formula
Study of collection and analysis of data
the growing popularity of computationally intensive methods based on resampling, such as permutation tests and the bootstrap, while techniques such as
Statistics
Statistical estimation method
estimator can also be expressed as the limit of a weighted bootstrap resampling estimate of the mean. It can also be viewed as a special case of multiple
Horvitz–Thompson_estimator
Interpolation on functions of more than one variable
interpolation Bicubic interpolation Bézier surface Lanczos resampling Delaunay triangulation Bitmap resampling is the application of 2D multivariate interpolation
Multivariate_interpolation
American statistician
awards (see below). Efron is especially known for proposing the bootstrap resampling technique, which has had a major impact in the field of statistics and
Bradley_Efron
Statistical interpretation with many tests
PMID 21044043. S2CID 10735784. P. H. Westfall and S. S. Young (1993), Resampling-based Multiple Testing: Examples and Methods for p-Value Adjustment, Wiley
Multiple_comparisons_problem
American statistician
Shenzhen. He is known for his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics
C._F._Jeff_Wu
Continuously computed dead reckoning
Farhana Syed Omar and Nurfarah Ain Limin (2019). Robust Special Strategies Resampling for Mobile Inertial Navigation Systems. International Journal of Innovative
Inertial_navigation_system
Method of statistical sampling
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Stratified_randomization
Geographic information system software for editing spatial data
Grid discretisation: skeletonisation, segmentation. Grid tools: merging, resampling, gap filling. Image classification: cluster analysis, box classification
SAGA_GIS
Digital signal resampling method
expansion, and interpolation are terms associated with the process of resampling in a multi-rate digital signal processing system. Upsampling can be synonymous
Upsampling
Multimedia framework
JSON), see also MediaInfo. libswresample is a library containing audio resampling routines. libavcodec is a library containing all of the native FFmpeg
FFmpeg
Loss of quality between copies
video keyframes do not line up from generation to generation. Digital resampling such as image scaling, and other DSP techniques can also introduce artifacts
Generation_loss
Type of chart
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bar_chart
Video compression standard
Temporal, SNR, and Spatial Scalability mode Annex P – Reference picture resampling Annex Q – Reduced-Resolution Update mode (see implementors' guide correction
H.263
Computer sound card
significant portion of the audio processing unit was devoted to this resampling engine. The SRC engine was far more capable than previous Creative sound
Sound_Blaster_X-Fi
Method of multivariate interpolation
Philippe; Blu, Philippe; Unser, Philippe (2000). "Image Interpolation and Resampling". Handbook of Medical Imaging. Academic Press. p. 405. doi:10
Nearest-neighbor interpolation
Nearest-neighbor_interpolation
Probability of making type I errors when performing multiple hypotheses tests
statistics) produces more powerful procedures. This can be achieved by applying resampling methods, such as bootstrapping and permutations methods. The procedure
Family-wise_error_rate
Measure of the shape of a function
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Moment_(mathematics)
Apparent lack of pattern or predictability in events
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Randomness
Condition in which the value of a measurement or observation is only partially known
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Censoring_(statistics)
American statistician
Mathematical Statistics with Resampling and R. A 2015 article titled "What Teachers Should Know About the Bootstrap: Resampling in the Undergraduate Statistics
Tim_Hesterberg
development of confidence intervals with improved properties in the context of resampling and, in particular, bootstrapping. The development of studentization was
Studentization
Statistical model for count data
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Poisson_regression
Series of questions for gathering information
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Questionnaire
Device that records and plays back samples
real-time resampling is a required capability for the Tracker concept. Since the 1980s, Trackers were able to perform 4-channel resampling in realtime
Sampler_(musical_instrument)
Statistical test used to test homoscedasticity
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bartlett's_test
Probabilistic problem-solving algorithm
published in their seminal work the first application of a Monte Carlo resampling algorithm in Bayesian statistical inference. The authors named their algorithm
Monte_Carlo_method
Concept in statistical analysis
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bivariate_analysis
Compilation of information about a given population
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Census
Statistical property
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bias_of_an_estimator
Lossy audio coding format
SILK's look-ahead is 5 ms, plus 1.5 ms for the resampling (including both encoder and decoder resampling). For this reason, the CELT path in the encoder
Opus_(audio_format)
Freeware audio player
with command line encoders. To maximize audio fidelity in cases where resampling or downscaling in bit depth is required, it provides noise shaping and
Foobar2000
Image luminance mapping function
gamma color space is often more aesthetically pleasing. This is because resampling filters with negative lobes like Mitchell–Netravali and Lanczos create
Gamma_correction
Technique for the generative modeling of a continuous probability distribution
be done by GAN, Transformer, or signal processing methods like Lanczos resampling. Diffusion models themselves can be used to perform upscaling. Cascading
Diffusion_model
Statistical measure of how far values spread from their average
variances include the Box test, the Box–Anderson test and the Moses test. Resampling methods, which include the bootstrap and the jackknife, may be used to
Variance
Measure of variation in statistics
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Standard_deviation
Statistical sampling techniques
Luís; Branco, Paula; Ribeiro, Rita P.; Pfahringer, Bernhard (June 2015). "Resampling strategies for regression". Expert Systems. 32 (3): 465–476. doi:10.1111/exsy
Oversampling and undersampling in data analysis
Oversampling_and_undersampling_in_data_analysis
Investment portfolio which occupies the "efficient" parts of the risk-return spectrum
accounting for the uncertainty of the risk and return estimates using resampling "Markowitz efficient frontier". NASDAQ. nasdaq.com. Retrieved 15 May 2017
Efficient_frontier
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
List_of_statistical_tests
Value that appears most often in a set of data
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Mode_(statistics)
Video editing software
Tennessee as an audio-only tool with a particular focus on re-scaling and resampling audio. It supported formats like DivX and Real Networks RealSystem G2
Vegas_Pro
Multivariate statistical technique
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Spatial Analysis of Principal Components
Spatial_Analysis_of_Principal_Components
Approach of analyzing data sets in statistics
standard deviation). The packages S, S-PLUS, and R included routines using resampling statistics, such as Quenouille and Tukey's jackknife and Efron's bootstrap
Exploratory_data_analysis
Simultaneous observation and analysis of more than one outcome variable
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Multivariate_statistics
Overview of and topical guide to statistics
statistics Markov chain Monte Carlo Bootstrapping (statistics) Jackknife resampling Integrated nested Laplace approximations Nested sampling algorithm Metropolis–Hastings
Outline_of_statistics
Computer scientist
Scholarship to study at the University of Cambridge, where he worked on image resampling supervised by Neil Wiseman and graduating with a PhD in 1992. Dodgson
Neil_Dodgson
Statistical test of a mediation effect
in the literature is bootstrapping. Bootstrapping is a non-parametric resampling procedure that can build an empirical approximation of the sampling distribution
Sobel_test
Plot using the dispersal of scattered dots to show the relationship between variables
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Scatter_plot
Ideal low-pass filter or averaging filter
application of the sinc kernel as the simplest windowing function. Lanczos resampling Aliasing Anti-aliasing filter Mark Owen (2007). Practical signal processing
Sinc_filter
Comparison of two distributions
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Q–Q_plot
Topics referred to by the same term
hold, a pinning move in professional wrestling Jackknife (statistics), a resampling technique in statistics Jackknife clam, common name for several species
Jackknife
Method of statistical inference
Bootstrap-based resampling methods can be used for null hypothesis testing. A bootstrap creates numerous simulated samples by randomly resampling (with replacement)
Statistical_hypothesis_test
Numeric quantity representing the center of a collection of numbers
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Mean
Processes that maintain quality at a constant level
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Quality_control
British statistician and professor
also made significant contributions in the following areas: bootstrap resampling methods; modelling the dynamics of wild animal populations and measuring
Stephen_Buckland
Robotics algorithm
accidentally discard all particles near the correct state during the resampling step. One way to mitigate this issue is to randomly add extra particles
Monte_Carlo_localization
Interface between statistics and computer science
used to refer to computationally intensive statistical methods including resampling methods, Markov chain Monte Carlo methods, local regression, kernel density
Computational_statistics
Statistical technique correcting sampling bias
other statistics can be generated from an asymptotic approximation or by resampling, such as through a bootstrap. The two-step estimator discussed above is
Heckman_correction
Measure of statistical dispersion
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Interquartile_range
Type of statistical measure over subsets of a dataset
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Moving_average
Study of evolutionary relationships between organisms
Above the Species Level (still using the same spelling). 1949, Jackknife resampling, Maurice Quenouille (foreshadowed in '46 by Mahalanobis and extended in
Phylogenetics
Non-parametric method for testing whether samples originate from the same distribution
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Kruskal–Wallis_test
Relationship between items in a set
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Ranking
Experimental design framework
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bayesian_experimental_design
Statistical test
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Wald_test
Concept in machine learning
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Double_descent
Producing images of 3D scenes
such as a radiance cache may be incorporated. Spatiotemporal reservoir resampling (ReSTIR) aims to improve the quality of real-time path tracing and allow
Rendering_(computer_graphics)
Statistical hypothesis test
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
F-test
RESAMPLING
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Boy/Male
Indian, Telugu
Lord Shiva
Girl/Female
Hindu, Indian, Kannada, Malayalam, Marathi, Tamil, Telugu
Of the Colour of Gold
Girl/Female
Tamil
Indifferent
Girl/Female
Bengali, Gujarati, Hindu, Indian, Kannada, Kashmiri, Malayalam, Marathi, Sanskrit, Sindhi, Tamil, Telugu, Traditional
Beautiful Woman; Beauty
Girl/Female
Anglo, Arabic, Hebrew, Japanese
Listener; Beautiful
Girl/Female
Tamil
Harinakshi | ஹரிநாகà¯à®·à¯€
Doe eyed
Boy/Male
Tamil
Home, Lord of all
Girl/Female
Gujarati, Hindu, Indian
Goddess Parvati; Goddess who Killed the Demons Chanda and Munda
Boy/Male
Indian, Punjabi, Sikh
Absorbed in the Love of God
Surname or Lastname
English
English : metonymic occupational name for a locksmith, from Middle English, Old English loc ‘lock’, ‘fastening’.English : topographic name for someone who lived near an enclosure, a place that could be locked, Middle English loke, Old English loca (a derivative of loc as in 1). Middle English loke also came to be used to denote a barrier, in particular a barrier on a river which could be opened and closed at will, and, by extension, a bridge. The surname may thus also have been a metonymic occupational name for a lock-keeper.English, Dutch, and German : nickname for a person with fine hair, or curly hair, from Middle English loc, Middle High German lock(e) ‘lock (of hair)’, ‘curl’.Americanized spelling of German Loch.
RESAMPLING
RESAMPLING
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RESAMPLING