Morris H. DeGroot

Morris Herman DeGroot (June 8, 1931 – November 2, 1989) was an American statistician.

Biography

Born in Scranton, Pennsylvania, DeGroot graduated from Roosevelt University and earned master's and doctor's degrees from the University of Chicago. DeGroot joined Carnegie Mellon in 1957 and became a University Professor, the school's highest faculty position.

He wrote three books, edited four volumes and authored over one hundred papers. Most of his research was on the theory of rational decision-making under uncertainty. His Optimal Statistical Decisions, published in 1970, is still recognized as one of the great books in the field. His undergraduate text, Probability and Statistics, published in 1975, is widely recognized as a classic textbook.

DeGroot was elected fellow of the American Statistical Association, the Institute of Mathematical Statistics, the International Statistical Institute, the Econometric Society and the American Association for the Advancement of Science.

He was the founding editor of the review journal Statistical Science.

References

"Biography of Morris H. DeGroot", Statistical Science, Vol. 6, No. 1. (Feb., 1991), pp. 3-14.
"Morris DeGroot, 58, A Statistics Professor, Obituary, New York Times, November 3, 1989.
Morris H. DeGroot and Mark J. Schervish (2002). Probability and Statistics (third ed.). Addison-Wesley. ISBN 9780201524888.
DeGroot, Morris H., Optimal Statistical Decisions. Wiley Classics Library. 2004. (Originally published (1970) by McGraw-Hill.) ISBN 0-471-68029-X.
Morris H. DeGroot and Richard M. Cyert (1987). Bayesian Analysis and Uncertainty in Economic Theory. Rowman & Littlefield. ISBN 9780847674718.

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

Carnegie Mellon University

Academics	Carnegie Institute of Technology (engineering) • College of Fine Arts • H. John Heinz III College • Dietrich College of Humanities and Social Sciences • Mellon College of Science • School of Computer Science • Tepper School of Business • Margaret Morrison Carnegie College (defunct)

Branch Campuses	Australia • Silicon Valley • Qatar

Student life	Traditions • Greek Life • Kiltie Band • Scotch'n'Soda • Miller Gallery • The Tartan • WRCT • University Athletic Association

Research	Pittsburgh Supercomputing Center • Software Engineering Institute • Robotics Institute • Human Computer Interaction Institute • Language Technologies Institute • Pittsburgh Life Sciences Greenhouse • Carnegie School

People	Andrew Carnegie • Mellon family • Alumni and faculty

Projects and legacies	Alice • Andrew Project • BLISS • CMMI • Mach • 3M computer

Persondata
Name	DeGroot, Morris H.
Alternative names
Short description	Statistician
Date of birth	June 8, 1931(1931-06-08)
Place of birth
Date of death	November 2, 1989(1989-11-02)
Place of death

Morris H. DeGroot

Biography

See also

References