User:Israelk18/Books/Statistics

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Statistics[edit]

Statistics: Statistics
Econometrics: Econometrics
Descriptive statistics: Descriptive statistics; Central tendency; Mean; Median; Mode (statistics); Statistical dispersion; Variance; Standard deviation; Median absolute deviation; Average absolute deviation; Percentile; Range (statistics); Skewness; Kurtosis
Probability theory: Probability theory; Random variable; Expected value; Covariance matrix; Correlation and dependence; Pearson correlation coefficient; Independence (probability theory); Probability distribution; Probability density function; Cumulative distribution function; Dependent and independent variables; Independent and identically distributed random variables; Binomial distribution; Normal distribution; Chi-squared distribution
Experimental Design: Design of experiments; Statistical population; Sampling frame; Sample (statistics); Sample size determination; Sampling (statistics); Sampling distribution; Simple random sample; Systematic sampling; Stratified sampling; Cluster sampling; Convenience sampling; Snowball sampling; Sampling bias; Selection bias; Random assignment; Randomized controlled trial; Natural experiment; Field experiment
Statistical Inference: Statistical inference
Estimation theory: Estimation theory; Estimator; Point estimation; Minimum-variance unbiased estimator; Gauss–Markov theorem; Maximum likelihood estimation; Method of moments (statistics); Generalized method of moments; Interval estimation
Bias: Bias (statistics); Bias of an estimator; Omitted-variable bias; Mean squared error; Minimum mean square error
Asymptotic theory: Asymptotic theory (statistics); Asymptotic distribution; Convergence of random variables; Proofs of convergence of random variables; Slutsky's theorem; Central limit theorem; Law of large numbers
Consistency: Consistency (statistics); Consistent estimator; Delta method
Efficiency: Efficiency (statistics); Efficient estimator
Statistical Hypothesis: Statistical hypothesis testing; Null hypothesis; Alternative hypothesis; Type I and type II errors; Test statistic; Z-test; Student's t-test; T-statistic; F-test; P-value; Statistical significance; Power (statistics); Confidence interval
Regression analysis: Regression analysis; Errors and residuals; Linear model; Linear regression; Simple linear regression; Generalized linear model; Least squares; Ordinary least squares; Weighted least squares; Generalized least squares; Least absolute deviations; Fixed effects model; Random effects model; Mixed model; Statistical model; Sample mean and covariance; Bayesian statistics; Analysis of variance; Outlier; Statistical parameter; Standard error; Observational error; Robust statistics; Loss function; Degrees of freedom (statistics); Statistic; Bayes estimator; Uniform distribution (continuous); Student's t-distribution; Bias; Fisher information; Bernoulli distribution; Observational study; Nonparametric statistics; Prior probability; Probability mass function; Poisson distribution; Homoscedasticity; Sampling error; Summary statistics; Bayesian inference; Cauchy distribution; Cramér–Rao bound; Discrete uniform distribution; Exponential distribution; Moment (mathematics); Decision theory; Heteroscedasticity; Log-normal distribution; Parametric model; Effect size; Sufficient statistic; Time series; Uncorrelatedness (probability theory); Confounding; Frequentist inference; Chebyshev's inequality; Bayesian probability; Multiple comparisons problem; Standard score; Instrumental variables estimation; Covariance; Conditional expectation; Likelihood function; Likelihood-ratio test; Multivariate normal distribution; Non-linear least squares; One- and two-tailed tests; Location parameter; Coefficient of determination; Statistical theory; Sensitivity and specificity; Squared deviations from the mean; Bayes' theorem; Akaike information criterion; Bayes factor; Bessel's correction; Exponential family; Goodness of fit; Categorical variable; Central moment; Continuous mapping theorem; Design matrix; Errors-in-variables models; Laplace distribution; Mean absolute error; Interquartile range; Multivariate random variable; Kalman filter; Monte Carlo method; Maximum a posteriori estimation; Mid-range; Model selection; Multilevel model; Neyman–Pearson lemma; Quantile; Residual sum of squares; Root-mean-square deviation; Rao–Blackwell theorem; Reduced chi-squared statistic; Survey sampling; Nuisance parameter; Panel data; Quartile; Scale parameter; Chi-squared test; Bootstrapping (statistics); Conditional probability distribution; Blocking (statistics); Credible interval; Cumulant; Heteroscedasticity-consistent standard errors; Joint probability distribution; Linear least squares; Logistic regression; Markov chain Monte Carlo; Forecasting; Histogram; Multicollinearity; Polynomial least squares; Parametric statistics; Nonprobability sampling; Posterior probability; Randomized experiment; Mean absolute difference; Resampling (statistics); Prediction interval; Propagation of uncertainty; Semiparametric model; Quantile function; Sample maximum and minimum; Shrinkage estimator; Statistical assumption; Statistical classification; Stepwise regression; Unbiased estimation of standard deviation; Stochastic process; Unimodality; 68–95–99.7 rule; Algorithmic inference; Best linear unbiased prediction; Censored regression model; Censoring (statistics); Conditional variance; Confidence region