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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)
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
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
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
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)
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 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
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 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
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
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)
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
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
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
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
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
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)
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
In rotordynamics, order tracking, also known as angular resampling, is a family of signal processing tools aimed at transforming a measured signal from
Order tracking (signal processing)
Order_tracking_(signal_processing)
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
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
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
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
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)
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
Subgenre of drum and bass
synthesis, frequency modulation synthesis, filtering, distortion, and resampling. Modulation creates movement in the bass sound's midrange harmonics, while
Neurofunk
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
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
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
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
American statistician (1933–1986)
statistician known for his work on multiple comparison and jackknife resampling. Miller was born in Lancaster, Pennsylvania and attended the Hill School
Rupert_G._Miller
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
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
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
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
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
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
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
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
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
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
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
Process of making something random
Statistical Institute. Some important methods of statistical inference use resampling from the observed data. Multiple alternative versions of the data-set
Randomization
Topics referred to by the same term
Wiktionary, the free dictionary. Subsampling or sub-sampling may refer to: Resampling (alternative to bootstrap) Sampling (statistics) Replication (statistics)
Subsampling
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
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
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
Type of chart
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bar_chart
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)
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
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
Statistical technique for estimating sampling variability
then V/(1 − k)2, where V is the estimate given by the BRR formula above. Resampling (statistics) "Balanced Repeated Replication". am.air.org. Retrieved 2025-05-08
Balanced_repeated_replication
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
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
Experiment methodology
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
A/B_testing
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
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
Statistical methods for comparing samples
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Two-proportion_Z-test
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
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
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
Test of normality in frequentist statistics
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Shapiro–Wilk_test
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
Free and open source audio player
playback, playback of high-resolution audio sources (HD audio) without resampling and fewer dependencies on libraries and third-party code. Clementine was
Clementine_(software)
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 property
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bias_of_an_estimator
Sampling from a population which can be partitioned into subpopulations
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Stratified_sampling
Statistical theorem
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Wilks'_theorem
model Percentage point Permutation code Permutation test – redirects to Resampling (statistics) Pharmaceutical statistics Phase dispersion minimization Phase-type
List_of_statistics_articles
Data visualization
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Box_plot
Middle quantile of a data set or probability distribution
1960.10482056. Efron, B. (1982). The Jackknife, the Bootstrap and other Resampling Plans. Philadelphia: SIAM. ISBN 0-89871-179-7. Shao, J.; Wu, C. F. (1989)
Median
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
Statistical test
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Z-test
Experiment in which information about the test is masked to reduce bias
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Blinded_experiment
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
Theory in statistics
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Association_scheme
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
Two different methods for presenting tabular data
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Wide_and_narrow_data
Statistical measure of variability
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Median_absolute_deviation
Sound server for Unix-like operating systems
command line reconfiguration capabilities Built-in sample conversion and resampling capabilities The ability to combine multiple sound cards into one The
PulseAudio
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 phenomenon
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Regression_toward_the_mean
Interpretation of probability
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Bayesian_probability
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
Audio file navigation technique
cleaned.[citation needed] Common scrubbing feedback techniques include: Resampling allows playback at arbitrary rates, which also pitch-shifts the audio
Scrubbing_(audio)
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
Pathogenic genus of Gram-negative bacteria
Review program operation: The count should be confirmed by immediate resampling. If a similar count is found again, a review of the control measures and
Legionella
Table that displays the frequency of variables
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Contingency_table
Concept in machine learning
evolves over time, invalidating the model) Data dredging Overfitting Resampling (statistics) Supervised learning Training, validation, and test sets Shachar
Leakage_(machine_learning)
British statistician
20th-century British statistician remembered as the creator of Jackknife resampling. He is also the designer of the Quenouille test in time series analysis
Maurice_Quenouille
Canadian-American mathematical statistician
Practitioner's Guide to Resampling for Data Analysis, Data Mining, and Modeling, Chapman and Hall/CRC, 2011. Introduction to Statistics Using Resampling Methods and
Phillip_Good
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
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Contraharmonic_mean
Statistical test
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Exact_test
Type of bar chart
interval Pivot Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most
Tornado_diagram
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)
Collection of statistical models
Analysis of Variance) Howell (2002, p 604) Howell (2002, Chapter 18: Resampling and nonparametric approaches to data) Montgomery (2001, Section 3-10:
Analysis_of_variance
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