In statistics, imputation is the process of replacing missing data with substituted values. When substituting for a data point, it is known as "unit imputation";...

Imputation (statistics), substitution of some value for missing data Imputation (genetics), estimation of unmeasured genotypes Theory of imputation,...

considered only in the numerator. Data analysis Detection limit Imputation (statistics) Inverse probability weighting Sampling bias Saturation arithmetic...

denoising Importance sampling Imprecise probability Impulse response Imputation (statistics) Incidence (epidemiology) Increasing process Indecomposable distribution...

Bootstrap aggregating Bootstrapping Empirical likelihood Imputation (statistics) Reliability (statistics) Reproducibility Resampling Horowitz JL (2019). "Bootstrap...

Distribution Model and Free of Missing or Removed Data Imputation. Early nonparametric statistics include the median (13th century or earlier, use in estimation...

Brahmagupta's interpolation formula Discretization Fractal interpolation Imputation (statistics) Lagrange interpolation Missing data Newton–Cotes formulas Radial...

In data analysis involving geographical locations, geo-imputation or geographical imputation methods are steps taken to replace missing values for exact...

common to "fill in" values for the missing components, a process called "imputation". There is a set of probability distributions used in multivariate analyses...

very sensitive to model assumptions. Replacing missing data is called imputation. If there are relatively few missing points, there are some models which...

A. K. (2021), Improved Imputation Methods for Missing Data in Two-Occasion Successive Sampling, Communications in Statistics: Theory and Methods. DOI:10...

Surveys". Journal of Business & Economic Statistics. 6 (3): 287–296. doi:10.2307/1391878. JSTOR 1391878. "Imputation by Predictive Mean Matching: Promise...

an index: Step 1: Theoretical framework Step 2: Data selection Step 3: Imputation of missing data Step 4: Multivariate analysis Step 5: Normalisation Step...

1093/biomet/asm072. Berger, Y.G.; Rao, J.N.K. (2006). "Adjusted jackknife for imputation under unequal probability sampling without replacement". Journal of the...

1214/09-ss057. Vansteelandt, Stijn; Bekaert, Maarten; Lange, Theis (2012). "Imputation strategies for the estimation of natural direct and indirect effects"...

Imputation and Variance Estimation Software (IVEware) is a collection of routines written under various platforms and packaged to perform multiple imputations...

sets and, in some cases, the relevant statistics must be combined in a relatively complicated way. Multiple imputation is not conducted in specific disciplines...

fields as astronomy, computer vision, document clustering, missing data imputation, chemometrics, audio signal processing, recommender systems, and bioinformatics...

jackknife and imputation-based variance estimates. Pooled variance Spellman, Frank R. (12 November 2013). Handbook of mathematics and statistics for the environment...

Essential Aspects of Bayesian Data Imputation (Thesis). SSRN 4494314. Eaton, Morris L. (1983). Multivariate Statistics: a Vector Space Approach. John Wiley...

items also exist in the accounts which are derived from observables (by imputation, inference, interpolation, or extrapolation). To compile the whole inventory...

estimate of the mean. It can also be viewed as a special case of multiple imputation approaches. For post-stratified study designs, estimation of π {\displaystyle...

characteristics with statistics taken from its nearest similar neighbor, a practice called "hot-deck imputation". The use of hot-deck imputation in the 2000 census...

in the classical data set fashion. If data is missing or suspicious an imputation method may be used to complete a data set. Several classic data sets have...

be measured indirectly. Imputed housing rent is the economic theory of imputation applied to real estate: that the value is more a matter of what the buyer...

against the uncritical use of methods like LOCF, stating that "Single imputation methods like last observation carried forward and baseline observation...

her work in statistical genetics Rebecca Andridge, American expert on imputation of missing data and group-randomized trials Svetlana Antonovska (1952-2016)...

to be defamatory; the passage conveys an imputation; the imputation is about the plaintiff; the imputation is damaging to the plaintiff's reputation...

wish to say so Other errors of collection, nonresponse, processing, or imputation of values for missing or inconsistent data. An excellent discussion of...

counts, descriptive statistics (mean, standard deviation, median), normality (skewness, kurtosis, frequency histograms), normal imputation is needed. Analysis...