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| [[CategoryMathematics|Mathematics]] applied to data. Generally, all pages on descriptive statistics will be found here. | A branch of [[CategoryMathematics|mathematics]]. | 
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| For any statistics applied to social sciences, see [[Econometrics]] instead. For any statistics applied to surveys, see [[SurveyStatistics|Survey Statistics]] instead. | |
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| * [[Statistics/AverageAbsoluteDeviation|Average Absolute Deviation]] | |
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| * [[Statistics/CovarianceMatrices|Covariance Matrices]] * [[Statistics/DegreesOfFreedom|Degrees of Freedom]] | |
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| * [[Statistics/MahalanobisDistance|Mahalanobis Distance]] | |
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| * [[Statistics/BinomialDistribution|Binomial Distribution]] * [[Statistics/NormalDistribution|Normal Distribution]] * [[Statistics/UniformDistribution|Uniform Distribution]] | * [[Statistics/BayesRule|Bayes' Rule]] * [[Statistics/BayesianNotation|Bayesian Notation]] * [[Statistics/ConditionalProbability|Conditional Probability]] * [[Statistics/Independence|Independence]] * [[Statistics/JointProbability|Joint Probability]] * [[Statistics/Logit|Logit]] * [[Statistics/ProbabilityNotation|Probability Notation]] * [[Statistics/SigmaAlgebraNotation|σ Algebra Notation]] * [[Statistics/TestStatistic|Test Statistic]] == Probability Distributions == * [[Statistics/BernoulliDistribution|Bernoulli]] * [[Statistics/BinomialDistribution|Binomial]] * [[Statistics/ChiSquaredDistribution|Chi-squared]] * [[Statistics/FDistribution|F]] * [[Statistics/NormalDistribution|Normal]] * [[Statistic/StudentsTDistribution|Student's t]] * [[Statistics/UniformDistribution|Uniform]] == Probability Tests == * [[Statistics/CollinearityTest|Collinearity test]] * [[Statistics/HosmerLemeshowTest|Hosmer-Lemeshow test]] * [[Statistics/KolmogorovSmirnovTest|Kolmogorov-Smirnov test]] * [[Statistics/LagrangeMultiplierTest|Lagrange multiplier test]] * [[Statistics/LikelihoodRatioTest|Likelihood-ratio test]] * [[Statistics/PearsonTest|Pearson test]] * [[Statistics/SobelTest|Sobel test]] * [[Statistics/WaldTest|Wald test]] == Samples == * [[Statistics/PostStratification|Post-Stratification]] * [[Statistics/Stratification|Stratification]] * [[Statistics/SurveySampling|Survey Sampling]] * [[Statistics/UnequalWeightingAndDesignEffects|Unequal Weighting and Design Effects]] * SurveySamples == Prediction == * [[Statistics/ConditionalExpectations|Conditional Expectations]] * [[Statistics/ExpectedValues|Expected Values]] * [[Statistics/StandardError|Standard Error]] == Modeling == * [[Statistics/BayesianHierarchicalModel|Bayesian Hierarchical Model]] * [[Statistics/Binning|Binning]] * [[Statistics/CausalInference|Causal Inference]] * [[Statistics/EconometricsNotation|Econometrics Notation]] * [[Statistics/Exogeneity|Exogeneity]] * [[Statistics/GeneralizedLinearModel|Generalized Linear Model]] * [[Statistics/Homoskedasticity|Homoskedasticity]] * [[Statistics/Lasso|Lasso]] * [[Statistics/LogisticModel|Logistic Model]] * [[Statistics/MultilevelModel|Multilevel Model]] * [[Statistics/MultilevelRegressionWithPoststratification|Multilevel Regression with Poststratification]] * [[Statistics/OrdinaryLeastSquares|Ordinary Least Squares]] * [[Statistics/StructuralEquationModeling|Structural Equation Modeling]] == Non-parametric Modeling == * [[Statistics/Bagging|Bagging]] * [[Statistics/DecisionTrees|Decision trees]] * [[Statistics/GradientBoosting|Gradient Boosting]] * [[Statistics/RandomForest|Random forest]] * [[Statistics/SupportVectorMachines|Support-Vector Machines]] == Analysis == * [[Statistics/FactorAnalysis|Factor analysis]] * [[Statistics/MediationAnalysis|Mediation analysis]] == Surveying == * [[Statistics/SurveyDisposition|Survey Disposition]] * [[Statistics/FocusGroup|Focus Group]] * [[Statistics/SurveyFrame|Survey Frame]] * [[Statistics/NonResponseBias|Non-response Bias]] * [[Statistics/OnlineBulletinBoard|Online Bulletin Board]] * [[Statistics/ResponseRate|Response Rate]] * [[Statistics/QualitativeCoding|Qualitative Coding]] * [[Statistics/SurveyInference|Survey Inference]] * [[Statistics/SurveyWeights|Survey Weights]] == Natural Language Processing == * [[Statistics/BagOfWordsModel|Bag of Words Model]] * [[Statistics/NaturalLanguageProcessingDataPreparation|NLP data preparation]] * [[Statistics/WordEmbedding|Word Embedding]] * [[Statistics/RecursiveSequencing|Recursive Sequencing]] * [[Statistics/TopicModel|Topic Model]] * [[Statistics/SentimentAnalysis|Sentiment Analysis]] * [[Statistics/TextClassification|Text Classification]] == Reading Notes == * [[MeasurementErrorModels|Measurement Error Models]], Wayne A. Fuller, 1987 * [[TheEffectOfWeightTrimmingOnNonlinearSurveyEstimates|The Effect of Weight Trimming on Nonlinear Survey Estimates]], Frank J. Potter, 1993 * [[EvidenceOnTheValidityOfCrossSectionalAndLongitudinalLaborMarketData|Evidence on the Validity of Cross-sectional and Longitudinal Labor Market Data]], John Bound, Charles Brown, Greg J. Duncan, and Willard L. Rodgers, 1994 * [[SamplingWeightsAndRegressionAnalysis|Sampling Weights and Regression Analysis]], Christopher Winship and Larry Radbill, 1994 * [[ImprovingOnProbabilityWeightingForHouseholdSize|Improving on Probability Weighting for Household Size]], Andrew Gelman and Thomas C. Little, 1998 * [[StatisticalModelingTheTwoCultures|Statistical Modeling: The Two Cultures]], Leo Breiman, 2001 * [[AscertainingTheValidityOfIndividualProtocols|Ascertaining the validity of individual protocols from Web-based personality inventories]], John A. Johnson, 2004 * [[StrugglesWithSurveyWeightingAndRegressionModeling|Struggles with Survey Weighting and Regression Modeling]], Andrew Gelman, 2007 * [[IdentifyingCarelessResponsesInSurveyData|Identifying Careless Responses in Survey Data]], Andrew Meade, S. Bartholomew Craig, 2012 * [[EstimatingMeasurementErrorInAnnualJobEarnings|Estimating Measurement Error in Annual Job Earnings]], John M. Abowd and Martha H. Stinson, 2013 * [[RegressionAndOtherStories|Regression and Other Stories]], Andrew Gelman, Jennifer Hill, and Aki Vehtari, 2020 * [[TheIndependentContractorWorkforce|The Independent Contractor Workforce: New Evidence on Its Size and Composition and Ways to Improve Its Measurement in Household Surveys]]; Katharine G. Abraham, Brad J. Hershbein, Susan N. Houseman, and Beth C. Truesdale; 2023 * [[SurveysOfConsumersTechnicalReport|Surveys of Consumers Technical Report: Technical Documentation for the 2024 Methodological Transition to Web Surveys]], 2024 * [[TheEffectOfOnlineInterviewsOnTheUniversityOfMichiganSurveyOfConsumerSentiment|The effect of online interviews on the University of Michigan Survey of Consumer Sentiment]], Ryan Cummings and Ernie Tedeschi, 2024 | 
Statistics
A branch of mathematics.
Foundations
Probability
Probability Distributions
Probability Tests
Samples
Prediction
Modeling
Non-parametric Modeling
Analysis
Surveying
Natural Language Processing
Reading Notes
- Measurement Error Models, Wayne A. Fuller, 1987 
- The Effect of Weight Trimming on Nonlinear Survey Estimates, Frank J. Potter, 1993 
- Evidence on the Validity of Cross-sectional and Longitudinal Labor Market Data, John Bound, Charles Brown, Greg J. Duncan, and Willard L. Rodgers, 1994 
- Sampling Weights and Regression Analysis, Christopher Winship and Larry Radbill, 1994 
- Improving on Probability Weighting for Household Size, Andrew Gelman and Thomas C. Little, 1998 
- Statistical Modeling: The Two Cultures, Leo Breiman, 2001 
- Ascertaining the validity of individual protocols from Web-based personality inventories, John A. Johnson, 2004 
- Struggles with Survey Weighting and Regression Modeling, Andrew Gelman, 2007 
- Identifying Careless Responses in Survey Data, Andrew Meade, S. Bartholomew Craig, 2012 
- Estimating Measurement Error in Annual Job Earnings, John M. Abowd and Martha H. Stinson, 2013 
- Regression and Other Stories, Andrew Gelman, Jennifer Hill, and Aki Vehtari, 2020 
- The Independent Contractor Workforce: New Evidence on Its Size and Composition and Ways to Improve Its Measurement in Household Surveys; Katharine G. Abraham, Brad J. Hershbein, Susan N. Houseman, and Beth C. Truesdale; 2023 
- The effect of online interviews on the University of Michigan Survey of Consumer Sentiment, Ryan Cummings and Ernie Tedeschi, 2024 
