David S. Moore

David S. Moore is an American statistician, who is known for his leadership of statistics education for many decades.

In statistics education, David S. Moore is the author of a series of influential textbooks in statistical science, which use only high school algebra: Introduction to the Practice of Statistics (with George McCabe), of An Introduction to the Basic Practice of Statistics, and of Statistics: Concepts and Controversies.

In statistical science, David S. Moore has done research in the asymptotic theory of robust and nonparametric statistics.

David S. Moore is now Shanti S. Gupta Distinguished Professor of Statistics, Emeritus at Purdue University.

References

Introduction to the Practice of Statistics with George McCabe.
The Basic Practice of Statistics.
Statistics: Concepts and Controversies.
Moore, David S (Jan. 1988). "Should Mathematicians Teach Statistics?". The College Mathematics Journal 19 (1): 3–7. doi:10.2307/2686686. JSTOR 2686686.
Cobb, George W. and Moore, David S (Nov. 1997). "Mathematics, Statistics, and Teaching". The American Mathematical Monthly 104 (9): 801–823. doi:10.2307/2975286. JSTOR 2975286.
Moore, David S.; Cobb, George W. (August–September 2000). "Statistics and Mathematics: Tension and Cooperation". The American Mathematical Monthly 107 (7): 615–630. doi:10.2307/2589117. JSTOR 2589117. MR 1543690.

Statistics

Descriptive statistics

Continuous data

Location	Mean (Arithmetic, Geometric, Harmonic) Median Mode

Dispersion	Range Standard deviation Coefficient of variation Percentile Interquartile range

Shape	Variance Skewness Kurtosis Moments L-moments

Count data

Index of dispersion

Summary tables

Dependence

Statistical graphics

Data collection

Designing studies	Effect size Standard error Statistical power Sample size determination

Survey methodology	Sampling Stratified sampling Opinion poll Questionnaire

Controlled experiment	Design of experiments Randomized experiment Random assignment Replication Blocking Factorial experiment Optimal design

Uncontrolled studies	Natural experiment Quasi-experiment Observational study

Statistical inference

Statistical theory	Sampling distribution Sufficient statistic Meta-analysis

Bayesian inference	Bayesian probability Prior Posterior Credible interval Bayes factor Bayesian estimator Maximum posterior estimator

Frequentist inference	Confidence interval Hypothesis testing Likelihood-ratio

Specific tests	Z-test (normal) Student's t-test F-test Pearson's chi-squared test Wald test Mann–Whitney U Shapiro–Wilk Signed-rank Kolmogorov–Smirnov test

General estimation	Bias Robustness Efficiency Maximum likelihood Method of moments Minimum distance Density estimation

Correlation and regression analysis

Correlation	Pearson product-moment correlation Partial correlation Confounding variable Coefficient of determination

Regression analysis	Errors and residuals Regression model validation Mixed effects models Simultaneous equations models

Linear regression	Simple linear regression Ordinary least squares General linear model Bayesian regression

Non-standard predictors	Nonlinear regression Nonparametric Semiparametric Isotonic Robust

Generalized linear model	Exponential families Logistic (Bernoulli) Binomial Poisson

Partition of variance	Analysis of variance (ANOVA) Analysis of covariance Multivariate ANOVA Degrees of freedom

Categorical, multivariate, time-series, or survival analysis

Categorical data	Cohen's kappa Contingency table Graphical model Log-linear model McNemar's test

Multivariate statistics	Multivariate regression Principal components Factor analysis Cluster analysis Copulas

Time series analysis	Decomposition (Trend, Stationary process) ARMA model ARIMA model Vector autoregression Spectral density estimation

Survival analysis	Survival function Kaplan–Meier Logrank test Failure rate Proportional hazards models Accelerated failure time model

Applications

Biostatistics	Bioinformatics Biometrics Clinical trials & studies Epidemiology Medical statistics

Engineering statistics	Chemometrics Methods engineering Probabilistic design Process & Quality control Reliability System identification

Social statistics	Actuarial science Census Crime statistics Demography Econometrics National accounts Official statistics Population Psychometrics

Spatial statistics	Cartography Environmental statistics Geographic information system Geostatistics Kriging

Category
Portal
Outline
Index

Persondata
Name	Moore, David S.
Alternative names
Short description
Date of birth
Place of birth
Date of death
Place of death