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See searches and references containing FUNCTIONAL DATA-ANALYSIS!FUNCTIONAL DATA-ANALYSIS
Branch of statistics mathematics
Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over
Functional_data_analysis
Statistical method for investigating the dominant modes of variation of functional data
Functional principal component analysis (FPCA) is a statistical method for investigating the dominant modes of variation of functional data. Using this
Functional principal component analysis
Functional_principal_component_analysis
data analysis Bayesian analysis Cluster analysis Combinatorial data analysis Formal concept analysis Functional data analysis Geometric data analysis Regression
Structured data analysis (statistics)
Structured_data_analysis_(statistics)
Set of related ordination techniques used in information visualization
Ramsay of McGill University, who is also regarded as the founder of functional data analysis. MDS algorithms fall into a taxonomy, depending on the meaning
Multidimensional_scaling
Branch of nonparametric statistics
Distributional data analysis is a branch of nonparametric statistics that is related to functional data analysis. It is concerned with random objects
Distributional_data_analysis
Canadian statistician
co-author Bernard Silverman, he is widely recognized as the founder of functional data analysis. He wrote four influential books and over 100 peer-reviewed articles
James_O._Ramsay
Type of regression analysis
Functional regression is a version of regression analysis when responses or covariates include functional data. Functional regression models can be classified
Functional_regression
Programming language for statistics
statistical computing and data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core
R_(programming_language)
Spanish statistician (born 1969)
Efficient Data Acquisition (2012), Spatial and Spatio-Temporal Geostatistical Modeling and Kriging (2015), or Geostatistical Functional Data Analysis (2021)
Jorge_Mateu
Programming paradigm based on applying and composing functions
in financial analysis, and XQuery/XSLT for XML. Domain-specific declarative languages like SQL and Lex/Yacc use some elements of functional programming
Functional_programming
Statistical field
Compositional Data Analysis and the Aitchison geometry. Theoretical applications are mainly in statistics, specifically functional data analysis of density
Bayes_space
Unit of information
data Data (computer science) Data acquisition Data analysis Data bank Data cable Data center Data curation Data domain Data element Data farming Data
Data
Simultaneous observation and analysis of more than one outcome variable
observed data; how they can be used as part of statistical inference, particularly where several different quantities are of interest to the same analysis. Certain
Multivariate_statistics
Method of analyzing variables in software
Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. It forms
Data-flow_analysis
Open-source environment for processing and displaying functional MRI data
Analysis of Functional NeuroImages (AFNI) is an open-source environment for processing and displaying functional MRI data—a technique for mapping human
Analysis of Functional NeuroImages
Analysis_of_Functional_NeuroImages
Representation on functions in computer engineering
engineering, software engineering, and computer science, a function model or functional model is a structured representation of the functions (activities, actions
Function_model
envelope. To construct a functional boxplot, data ordering is the first step. In functional data analysis, each observation is a real function, therefore
Functional_boxplot
Functional job analysis (FJA) is a method of job analysis that was developed by the Employment and Training Administration of the United States Department
Functional_job_analysis
Process of using data analysis for predicting population data from sample data
the process of using data analysis to infer properties of an underlying probability distribution. Inferential statistical analysis infers properties of
Statistical_inference
Academic journal
covered include copula modeling, functional data analysis, graphical modeling, high-dimensional data analysis, image analysis, multivariate extreme-value theory
Journal of Multivariate Analysis
Journal_of_Multivariate_Analysis
MRI procedure that measures brain activity by detecting associated changes in blood flow
Functional magnetic resonance imaging or functional MRI (fMRI) measures brain activity by detecting changes associated with blood flow. This technique
Functional magnetic resonance imaging
Functional_magnetic_resonance_imaging
Sequence of data points over time
series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time
Time_series
instrumental variables, estimation of high-dimensional models, and functional data analysis. (Chen et al. 2014) He served as Co-Editor of two of the leading
Joel_Horowitz
Grouping a set of objects by similarity
Cluster analysis, or clustering, is a data analysis technique aimed at partitioning a set of objects into groups such that objects within the same group
Cluster_analysis
Algorithm for measuring similarity between temporal sequences
classifier on a set of benchmark time series classification tasks. In functional data analysis, time series are regarded as discretizations of smooth (differentiable)
Dynamic_time_warping
Classification algorithm
JSTOR 2289161. OSTI 1447861. Ramsay, J.O.; Silverman, J.O. (2005). Functional Data Analysis. Springer New York, NY. doi:10.1007/b98888. ISBN 978-0-387-40080-8
Whitening_transformation
Turkish-American biostatistician
of Public Health whose interests include longitudinal studies, functional data analysis, and applications of biostatistics in the study of autism and of
Damla_Şentürk
Checking software against expectations
code structure or compilers (precompilers) check syntax and data flow as static program analysis. Dynamic testing takes place when the program itself is run
Software_testing
Belgian-Australian statistician & scholar
interests include nonparametric statistics, deconvolution and functional data analysis. Following her undergraduate degree in mathematics at Université
Aurore_Delaigle
Method of data analysis
component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing
Principal_component_analysis
Data structure implementable in purely functional languages
computer science, a purely functional data structure is a data structure that can be directly implemented in a purely functional language. The main difference
Purely functional data structure
Purely_functional_data_structure
Software engineering method
functional decomposition approach, it focuses on cohesion within functions and coupling between functions leading to structured data. The functional decomposition
Structured_analysis
Method for algorithm analysis in computer science
parametrizations or data structure contents) may imply a significant cost in resources, whereas other situations may not be as costly. The amortized analysis considers
Amortized_analysis
Greek mathematical statistician
and stochastic geometry. He is known for contributions to the functional data analysis of random functions, operators, and measures. He has published
Victor_Panaretos
British statistician
Applied Functional Data Analysis: Methods and Case Studies. Springer-Verlag. Ramsay, J. O.; Silverman, B. W. (2005) [1997]. Functional Data Analysis (second
Bernard_Silverman
Data visualization tool
contour boxplot, data ordering is the first step. In functional data analysis, each observation is a real function, therefore data ordering is different
Contour_boxplot
Any task which a system must be able to complete
outputs. Functional requirements may involve calculations, technical details, data manipulation and processing, and other specific functionality that define
Functional_requirement
Branch of mathematics
function spaces. Its major areas include complex analysis, functional analysis, measure theory, harmonic analysis, and the theory of ordinary and partial differential
Mathematical_analysis
Topics referred to by the same term
electronic voltage amplifier with differential inputs and outputs Functional data analysis, a branch of statistics Fluorescein diacetate, a non-fluorescent
FDA_(disambiguation)
Compiler technique
languages CFA in functional programs (survey) for the relationship between CFA analysis in functional languages and points-to analysis in imperative/OOP
Control-flow_analysis
Programming paradigm entirely based on functions
Functional programming may use persistent non-purely functional data structures, while those data structures may not be used in purely functional programs
Purely_functional_programming
Norwegian mathematician
Applied Functional and Harmonic Analysis group, and also Professor II at the University of Oslo. He works in functional analysis, harmonic analysis (applied)
Anders_C._Hansen
Systematic analysis technique
variation of DFMEA developed for functional safety applications is called Design Deviation and Mitigation Analysis (DDMA). The DDMA variation adds information
Failure modes, effects, and diagnostic analysis
Failure_modes,_effects,_and_diagnostic_analysis
Collection of statistical models
of Mendelian Inheritance. His first application of the analysis of variance to data analysis was published in 1921, Studies in Crop Variation I. This
Analysis_of_variance
Automatic analysis of video
machine, it is possible to build other functionalities, such as video summarization, identification, behavior analysis, or other forms of situation awareness
Video_content_analysis
Analysis of datasets using techniques from topology
In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information
Topological_data_analysis
Dimensionality reduction technique
defined as, Functional data analysis Functional principal component analysis Karhunen–Loève theorem Functional regression Generalized functional linear model
Functional_correlation
Flow Diagram
data flow diagrams, control flow diagrams, Gantt charts, PERT diagrams, and IDEF. FFBDs are also referred to as functional flow diagrams, functional block
Functional_flow_block_diagram
Map from a vector space to its underlying field
In functional analysis, a functional is a map from a vector space to its underlying field. Elements of this field are called scalars, typically real or
Functional_(mathematics)
Spanish statistician
statistician whose research involves principal component analysis, functional data analysis, categorical data, and multi-dimensional contingency tables. She is
Ana_María_Aguilera
Branch of statistics
survival analysis involves the modelling of time to event data; in this context, death or failure is considered an "event" in the survival analysis literature
Survival_analysis
Analyse-it – software Analysis of categorical data Analysis of covariance Analysis of molecular variance Analysis of rhythmic variance Analysis of variance Analytic
List_of_statistics_articles
Model in functional data analysis
described by smooth varying coefficient functions. In Functional data analysis, functional data are considered as realizations of a Stochastic process
History_index_model
Data combined from several measurements
Aggregate data collected from various sources are used in different areas of studies such as comparative political analysis and APD scientific analysis for
Aggregate_data
Mathematical model for stochastic processes
has been studied with the GFLM Functional additive models Functional data analysis Functional principal component analysis Generalized linear model Karhunen–Loève
Generalized functional linear model
Generalized_functional_linear_model
Engineering process
with the simulation Business analysis Business process reengineering Creative brief Data modeling Design brief Functional requirements Information technology
Requirements_analysis
Techniques to study geometric data
spatial analysis is geospatial analysis, the technique applied to structures at the human scale, most notably in the analysis of geographic data. It may
Spatial_analysis
Sequence database of DNA barcoding
a set of improvements supporting data collection and analysis but also included novel functionality improving data dissemination, citation, and annotation
Barcode_of_Life_Data_System
Method used in statistics, pattern recognition, and other fields
principal component analysis (PCA) and factor analysis in that they both look for linear combinations of variables which best explain the data. LDA explicitly
Linear_discriminant_analysis
Dividing a system in computer science
include the procedural, modular, abstract data type, and object-oriented paradigms. Generally, functional decomposition in computer science is a technique
Decomposition (computer science)
Decomposition_(computer_science)
Geometric operation
shear Ramsay, J. O.; Silverman, B. W. (23 November 2007). Applied Functional Data Analysis: Methods and Case Studies. Springer. ISBN 978-0-387-22465-7. Retrieved
Procrustes_transformation
Open-source data analysis software
for data visualization, machine learning, data mining, and data analysis. It provides a visual programming environment in which users construct data-analysis
Orange_(software)
Statistical model validation technique
techniques for assessing how the results of a statistical analysis will generalize to an independent data set. Cross-validation includes resampling and sample
Cross-validation_(statistics)
Centralized storage of knowledge
computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core
Data_warehouse
Smooth function in statistics
used in non-parametric regression, semiparametric regression and functional data analysis. In parametric modeling, variance functions take on a parametric
Variance_function
Study of high-dimensional data
statistics studies data whose dimension is larger (relative to the number of datapoints) than typically considered in classical multivariate analysis. The area
High-dimensional_statistics
Data structure that always preserves the previous version of itself when it is modified
common in logical and functional programming, as languages in those paradigms discourage (or fully forbid) the use of mutable data. In the partial persistence
Persistent_data_structure
Set of statistical processes for estimating the relationships among variables
common form of regression analysis is linear regression, in which one finds the line or hyperplane that most closely fits the data according to a specific
Regression_analysis
Analysis of social and lingual policy, or historiographical discourse phenomena
discourse Conversation analysis Critical discourse analysis Discursive psychology Emergent grammar Ethnography of communication Functional grammar Interactional
Discourse_analysis
Framework for machine learning
and functional analysis. Statistical learning theory deals with the statistical inference problem of finding a predictive function based on data. Statistical
Statistical_learning_theory
Algorithmically generated data that have a similar distribution as sampled data
the context of privacy-preserving statistical analysis, in 1993, the idea of original fully synthetic data was created by Donald Rubin. Rubin originally
Synthetic_data
Aguilera, Spanish expert on principal component analysis, functional data analysis, and categorical data Susan Ahmed (born 1946), American biostatistician
List_of_women_in_statistics
Statistical concept
When data are MCAR, the analysis performed on the data is unbiased; however, data are rarely MCAR. In the case of MCAR, the missingness of data is unrelated
Missing_data
Chinese-American statistician
California, Davis. She is a specialist in dimension reduction, functional data analysis, and aging. Wang graduated from National Taiwan University in 1975
Jane-Ling_Wang
Gathering information for analysis
collection remains the same. The goal for all data collection is to capture evidence that allows data analysis to lead to the formulation of credible answers
Data_collection
Type of requirement in systems engineering
IT Software Quality ISO/IEC 9126 FURPS Requirements analysis Usability requirements Non-Functional Requirements framework Architecturally Significant Requirements
Non-functional_requirement
Branch of mathematics
tends to infinity. It is at the intersection of convex geometry and functional analysis. The primary objects of study are typically finite-dimensional normed
Asymptotic_geometry
Measure of metropolitan and surrounding areas
residents commute into the city, a concept known as the "functional urban region". To ensure a good data availability, Eurostat adjusts the FUA boundaries to
Functional_urban_area
Statistical method that summarizes and/or integrates data from multiple sources
Meta-analysis is a method of synthesis of quantitative data from multiple independent studies addressing a common research question. An important part
Meta-analysis
Graphical representation of the "flow" of data through an information system
another data-flow diagram, which subdivides this process into sub-processes. The data-flow diagram is a tool that is part of structured analysis, data modeling
Data-flow_diagram
Statistical method
(see errors and residuals in statistics). The observable data that go into factor analysis would be 10 scores of each of the 1000 students, a total of
Factor_analysis
Analysis of software performed when running a program
Dynamic data-flow analysis tracks the flow of information from sources to sinks. Forms of dynamic data-flow analysis include dynamic taint analysis and even
Dynamic_program_analysis
Element of behavior modification
from assessment to intervention. Functional behavior assessment (FBA) is a method developed by applied behavior analysis (ABA) to identify the variables
Functional behavior assessment
Functional_behavior_assessment
Statistics concept
guarantee that the model fits the data well. For example, if the functional form of the model does not match the data, R2 can be high despite a poor model
Regression_validation
Interpretation of probability
first mathematical treatment of a non-trivial problem of statistical data analysis using what is now known as Bayesian inference. Mathematician Pierre-Simon
Bayesian_probability
Measure of statistical dispersion
(IQR) is a measure of statistical dispersion, which is the spread of the data. The IQR may also be called the midspread, middle 50%, fourth spread, or
Interquartile_range
Online tools for metabolomic data analysis
modules: Data processing Statistical analysis (one-factor, two-factor, and time-series data) Functional enrichment analysis Metabolic pathway analysis The
MetaboAnalyst
Approximation method in statistics
In numerical linear algebra and regression analysis, least squares is a method to determine the best-fit model by minimizing the sum of the squared residuals—the
Least_squares
Chinese-American statistician
whose research focuses on big data. On the theoretical side, her work has involved feature selection, functional data analysis, and causal inference, with
Wenxuan_Zhong
Statistical method for handling multiple comparisons
interconnected, which is often the case in biological data, like functional enrichment analysis of differentially expressed genes. This overcorrection
False_discovery_rate
Free software library
software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data. FSL is available as both precompiled
FMRIB_Software_Library
Statistical measure of variability
1993.10476408. hdl:2027.42/142454. Ruppert, D. (2010). Statistics and Data Analysis for Financial Engineering. Springer. p. 118. ISBN 9781441977878. Retrieved
Median_absolute_deviation
Correlation of a signal with a time-shifted copy of itself, as a function of shift
used in signal processing, time domain and time series analysis to understand the behavior of data over time. Different fields of study define autocorrelation
Autocorrelation
of statistical procedures which can be used for the analysis of categorical data, also known as data on the nominal scale and as categorical variables.
List of analyses of categorical data
List_of_analyses_of_categorical_data
Type of statistics
probability theory, and are frequently nonparametric statistics. Even when a data analysis draws its main conclusions using inferential statistics, descriptive
Descriptive_statistics
Data visualization
Bagplot Contour boxplot Data and information visualization Exploratory data analysis Fan chart Five-number summary Functional boxplot Seasonality Seven-number
Box_plot
Canadian statistician
statistician, interested in nonparametric regression, smoothing, functional data analysis, and applications of statistics in evolutionary biology. From 2008
Nancy_E._Heckman
Method for assessing risk
centered around the hazard analysis and functional based safety process. When used as part of an aviation hazard analysis, "Severity" describes the outcome
Hazard_analysis
Statistical analysis where the sample size is not fixed in advance
sequential analysis or sequential hypothesis testing is statistical analysis where the sample size is not fixed in advance. Instead data is evaluated
Sequential_analysis
analysis is a supervised learning method for classifying multivariate data into distinct classes according to a given distance metric over the data.
Neighbourhood components analysis
Neighbourhood_components_analysis
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