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Statistical method for resampling
In statistics, the jackknife (jackknife cross-validation) is a cross-validation technique and, therefore, a form of resampling. It is especially useful
Jackknife_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)
Topics referred to by the same term
high dive Jackknife hold, a pinning move in professional wrestling Jackknife (statistics), a resampling technique in statistics Jackknife clam, common
Jackknife
American statistician (1933–1986)
American statistician known for his work on multiple comparison and jackknife resampling. Miller was born in Lancaster, Pennsylvania and attended the Hill
Rupert_G._Miller
Statistical method
the jackknife". The Annals of Statistics. 7: 1–26. doi:10.1214/aos/1176344552. Efron B (1982). The Jackknife, the Bootstrap, and Other Resampling Plans
Bootstrapping_(statistics)
British statistician
a 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
Study of collection and analysis of data
developed their own specialised terminology and methodology: Bootstrap / jackknife resampling Multivariate statistics Statistical classification Structured data
Statistics
Overview of and topical guide to statistics
Computational statistics Markov chain Monte Carlo Bootstrapping (statistics) Jackknife resampling Integrated nested Laplace approximations Nested sampling algorithm
Outline_of_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
American statistician
his work on the convergence of the EM algorithm, resampling methods such as the bootstrap and jackknife, and industrial statistics, including design of
C._F._Jeff_Wu
Middle quantile of a data set or probability distribution
Jackknife, the Bootstrap and other Resampling Plans. Philadelphia: SIAM. ISBN 0898711797. Shao, J.; Wu, C. F. (1989). "A General Theory for Jackknife
Median
Study of evolutionary relationships between organisms
Evolution Above the Species Level (still using the same spelling). 1949, Jackknife resampling, Maurice Quenouille (foreshadowed in '46 by Mahalanobis and extended
Phylogenetics
institutions. As a result of the disproportionate representation, Jackknife resampling was used to quantify the sample bias, but no significant influence
Diploma_in_Computer_Science
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
American statistician
data. He is the author of a classic monograph, The Jackknife, the Bootstrap and Other Resampling Plans (1982) and has also co-authored (with Robert Tibshirani)
Bradley_Efron
Generates a forecast of future values of a time series
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Exponential_smoothing
Statistical method
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Regression discontinuity design
Regression_discontinuity_design
Statistic of a given score
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Percentile_rank
Time series data technique
the model or system. Bootstrapping (statistics) Data augmentation Jackknife resampling Synthetic data Kaefer, Paul E. (2015). Transforming Analogous Time
Surrogate_data
Inverse of the average of the inverses of a set of numbers
\left({\frac {1}{x}}\right)} and n is the number of data points in the sample. A jackknife method of estimating the variance is possible if the mean is known. This
Harmonic_mean
Diagnostic plot in multivariate statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Scree_plot
Criterion for model selection
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Bayesian information criterion
Bayesian_information_criterion
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
List of probability distributions
List_of_probability_distributions
Data combined from several measurements
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Aggregate_data
Method used in statistics, pattern recognition, and other fields
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Linear_discriminant_analysis
Data transformation of statistics into rank
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Ranking_(statistics)
Graphical display of scientific results
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Forest_plot
Partial correlation of a time series with its lagged values
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Partial autocorrelation function
Partial_autocorrelation_function
Non-parametric statistic used to estimate the survival function
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Kaplan–Meier_estimator
Statistical considerations on how many observations to make
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Sample_size_determination
Statistical property
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Standard_error
Test used in statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
F-test of equality of variances
F-test_of_equality_of_variances
Selection of data points in statistics
statistics Ratio estimator Replication (statistics) Random-sampling mechanism Resampling (statistics) Pseudo-random number sampling Sample size determination Sampling
Sampling_(statistics)
Statistical term
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Path_analysis_(statistics)
Theory and technique of psychological measurement
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Psychometrics
Type of statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Summary_statistics
Grouping a set of objects by similarity
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Cluster_analysis
Branch of statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Parametric_statistics
Measure of the asymmetry of random variables
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Skewness
Experiment methodology
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
A/B_testing
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
Class of statistical models
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Generalized_linear_model
Type of chart
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Radar_chart
Mathematical relation assigning a probability event to a cost
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Loss_function
Genus of flowering plants
clades within Triteleia that were all supported with 100 percent jackknife resampling values: Triteleia montana and Triteleia lemmoniae Triteleia peduncularis
Triteleia
Diagnostic test or benchmark
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Gold_standard_(test)
Type of numerical analysis
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Isotonic_regression
Statistical test
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
G-test
Bias in causal inference
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Confounding
Set of guidelines for using statistical analysis
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
MAGIC_criteria
Kth smallest value in a statistical sample
\delta _{N}(z)=(N+1)(1-z)^{N}} . This equation in combination with a jackknifing technique becomes the basis for the following density estimation algorithm
Order_statistic
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
Statistical estimation method
{\hat {\mu }}_{HT}} is not straightforward. Resampling techniques such as the bootstrap or the jackknife can be applied to gain consistent estimates of
Horvitz–Thompson_estimator
Numerical measure of a statistical relationship between variables
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Correlation_coefficient
Statistical measure to determine how suited data is for factor analysis
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Kaiser–Meyer–Olkin_test
Statistical method that summarizes and/or integrates data from multiple sources
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Meta-analysis
Concept in statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Vector generalized linear model
Vector_generalized_linear_model
Measure of variation in statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Standard_deviation
Statistical model to calculate the value of multiple quantities as they change over time
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Vector_autoregression
Statistical model for a binary dependent variable
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Logistic_regression
Statistical measure of association for two binary variables
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Phi_coefficient
Geometric algorithms for signal processing
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Projection_filters
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
Evaluates how likely it is that any difference between data sets arose by chance
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Pearson's_chi-squared_test
Distribution function associated with the empirical measure of a sample
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Empirical distribution function
Empirical_distribution_function
Statistical hypothesis test
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Student's_t-test
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 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)
Measure of goodness of fit for a statistical model
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Deviance_(statistics)
Statistics concept
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Estimation of covariance matrices
Estimation_of_covariance_matrices
Categorization of data using statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Statistical_classification
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Location_test
Statistical estimator for ratio of means
{m_{y}}{m_{x}}}-{\frac {s_{xy}}{m_{x}^{2}}}} A jackknife estimate of the ratio is less biased than the naive form. A jackknife estimator of the ratio is r c o r r
Ratio_estimator
Method of statistical inference
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Bayesian_inference
Statistic measuring inter-rater agreement for categorical items
\alpha =5\%} , and S E κ {\displaystyle SE_{\kappa }} is calculated by jackknife, bootstrap or the asymptotic formula described by Fleiss & Cohen. If statistical
Cohen's_kappa
Interpretation of probability
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Frequentist_probability
Tool to assess control of a manufacturing process
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Control_chart
Set of statistical processes for estimating the relationships among variables
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Regression_analysis
Function for integral Fourier-like transform
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Wavelet
Type of statistical measure over subsets of a dataset
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Moving_average
Statistical evaluation method
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Total operating characteristic
Total_operating_characteristic
Sub-discipline of systems engineering that emphasizes dependability
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Reliability_engineering
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
Statistical hypothesis test for forecasting
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Granger_causality
Statistical concept
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Missing_data
Class of statistical tests
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Normality_test
Conditional probability used in Bayesian statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Posterior_probability
Academic journal
and the comparison of existing statistical tests; bootstrap, Jackknife, and resampling methods; nonparametric, robust, permutation, exact, and approximate
Journal of Modern Applied Statistical Methods
Journal_of_Modern_Applied_Statistical_Methods
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
Statistic for rank correlation
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Kendall rank correlation coefficient
Kendall_rank_correlation_coefficient
Type of average of a collection of numbers
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Arithmetic_mean
Approach of analyzing data sets in statistics
packages S, S-PLUS, and R included routines using resampling statistics, such as Quenouille and Tukey's jackknife and Efron's bootstrap, which are nonparametric
Exploratory_data_analysis
Concept in Bayesian statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Credible_interval
Branch of statistics focusing on spatial data sets
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Geostatistics
Statistical measure
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Scale_parameter
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Contraharmonic_mean
Type of statistics
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Descriptive_statistics
Data graphic
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Ridgeline_plot
Statistical linear model
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
General_linear_model
Statistical task that deconstructs a time series into several components
Likelihood interval Prediction interval Tolerance interval Resampling Bootstrap Jackknife Testing hypotheses 1- & 2-tails Power Uniformly most powerful
Decomposition_of_time_series
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
Girl/Female
Tamil
Goddess Parvati
Girl/Female
Tamil
Flower
Boy/Male
Indian, Sanskrit
Heavenly Grass
Girl/Female
Tamil
Brithhi | பà¯à®°à¯€à®¤à¯à®¹à¯€
Strength
Boy/Male
Hindu, Indian
Bright
Female
English
Variant spelling of English Alannah, possibly ALLANNAH means "little rock."Â
Boy/Male
Indian
Lynx
Girl/Female
Indian
Abundance
Girl/Female
Tamil
Goddess Durga
Girl/Female
Native American
Snow.
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
JACKKNIFE RESAMPLING
n.
A small American sandpiper (Tringa maculata); -- called also pectoral sandpiper, and grass snipe.
n.
The jacksnipe.
n.
A small European snipe (Limnocryptes gallinula); -- called also judcock, jedcock, juddock, jed, and half snipe.
n.
A large, strong clasp knife for the pocket; a pocket knife.
n.
See Jacksnipe.