D. Harville

发表

Predictions for National Football League Games via Linear-Model Methodology

D. Harville, 1980 .

Bayesian inference for variance components using only error contrasts

D. Harville, 1974 .

Approximations for Standard Errors of Estimators of Fixed and Random Effects in Mixed Linear Models

R. N. Kackar, D. Harville, 1984 .

Making REML computationally feasible for large data sets: use of the Gibbs sampler

D. Harville, 2004 .

Matrix Algebra From a Statistician's Perspective

D. Harville, 1998 .

Rejoinder

D. Harville, 2014 .

Expression of Variance-Component Estimators as Linear Combinations of Independent Noncentral Chi-Square Variates

D. Harville, 1969 .

CLASSIFICATION WITH INTERACTION

W. Afb, D. Harville, 2016 .

Some Useful Representations for Constrained Mixed-Model Estimation

D. Harville, 1979 .

Quadratic unbiased estimation of variance components for the one-way classification

D. Harville, 1969 .

Some Bayesian and Non-Bayesian Procedures for the Analysis of Comparative Experiments and for Small-Area Estimation: Computational Aspects, Frequentist Properties, and Relationships

D. Harville, F. Hulting, 1991 .

On the Distribution of Linear Combinations of Non-central Chi-Squares

D. Harville, 1971 .

The posterior distribution of the fixed and random effects in a mixed-effects linear model

Alan G. Zimmermann, David A. Harville, D. Harville, 1996 .

Extension of the Gauss-Markov Theorem to Include the Estimation of Random Effects

David A. Harville, D. Harville, 1976 .

A mixed-model procedure for analyzing ordered categorical data

Robert W. Mee, David A. Harville, D. Harville, 1984 .

Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems: Rejoinder

David A. Harville, D. Harville, 1977 .

A random field approach to the analysis of field-plot experiments and other spatial experiments

Dale L. Zimmerman, David A. Harville, D. Harville, 1991 .

Cost (or Price) Forecasting in the Face of Technological Advance

D. Harville, E. Yashchin, 2007 .

Best Linear Recursive Estimation for Mixed Linear Models

David A. Harville, D. Harville, W. Sallas, 1981 .

C472. The expected value of a conditional variance: An upper bound

David A. Harville, D. Harville, 2003 .

Classical and Bayesian prediction as applied to an unbalanced mixed linear model

Alicia L. Carriquiry, David A. Harville, A. Carriquiry, 1992 .

NON-CENTRAL CHI-SQUARES

D. Harville, 2016 .

Interrelationships Among Age, Body Weight, and Production Traits During First Lactations of Dairy Cattle

C. R. Henderson, D. Harville, 1966 .

Statistical Dependence between Random Effects and the Numbers of Observations on the Effects for the Unbalanced One-Way Random Classification

D. Harville, 1967 .

COLLEGE FOOTBALL : A MODIFIED LEAST SQUARES APPROACH TO RATING AND PREDICTION

D. Harville, 2002 .

Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems

D. Harville, 1977 .

Corrections: Quadratic Unbiased Estimation of Variance Components for the One-Way Classification

D. Harville, 1970 .

[That BLUP is a Good Thing: The Estimation of Random Effects]: Comment

David A. Harville, D. Harville, 1991 .

Driscoll, M. F. (1999), “An Improved Result Relating Quadratic Forms and Chi-Square Distributions,” The American Statistician, 53, 273–275: Comment by Harville and Reply

D. Harville, 2000 .

An alternative way to establish the necessity part of the classical result on the statistical independence of quadratic forms

O. Kempthorne, D. Harville, 1997 .

The Home-Court Advantage: How Large is it, and Does it Vary from Team to Team?

David A. Harville, D. Harville, Michael H. Smith, 1994 .

Computational aspects of likelihood-based inference for variance components.

D. Harville, D. A. Harville, T. P. Callanan, 1990 .

BLUP (Best Linear Unbiased Prediction) and Beyond

D. Harville, D. A. Harville, 1990 .

Comparisons of Alternative Predictors under the Balanced One-Way Random Model

Julio L. Peixoto, David A. Harville, D. Harville, 1986 .

Using Ordinary Least Squares Software to Compute Combined Intra-Interblock Estimates of Treatment Contrasts

D. Harville, 1986 .

Confidence intervals for a variance ratio, or for heritability, in an unbalanced mixed linear model.

D. Harville, A. Fenech, D A Harville, 1985, Biometrics.

Alternative Formulations and Procedures for the Two-Way Mixed Model

David A. Harville, D. Harville, 1978 .

The Use of Linear-Model Methodology to Rate High School or College Football Teams

David HARViLLE, D. Harville, 1977 .

Optimal Procedures for Some Constrained Selection Problems

D. Harville, 1974 .

Fitting Partially Linear Models by Weighted Least Squares

David A. Harville, D. Harville, 1973 .

Nearly Optimal Allocation of Experimental Units Using Observed Covariate Values

David A. Harville, D. Harville, 1974 .

Linear Models and the Relevant Distributions and Matrix Algebra

David A. Harville, D. Harville, 2018 .

Some Alternatives to Wald's Confidence Interval and Test

D. Harville, Tsung-Hua Lin, 1991 .

Decomposition of Prediction Error

David A. Harville, D. Harville, 1985 .

Unbiasedness of two-stage estimation and prediction procedures for mixed linear models

Raghu N. Kackar, R. N. Kackar, David A. Harville, 1981 .

Matrix Algebra: Exercises and Solutions

David A. Harville, D. Harville, 2001 .

Unbiased and Minimum-Variance Unbiased Estimation of Estimable Functions for Fixed Linear Models with Arbitrary Covariance Structure

D. Harville, 1981 .

The Selection or Seeding of College Basketball or Football Teams for Postseason Competition

D. Harville, David A Harville, 2003 .

The distribution of a truncated linear difference between independent chi-square variates

D. Harville, 1973 .

Exact confidence sets for variance components in unbalanced mixed linear models

D. Harville, A. Fenech, 1991 .

Confidence Intervals and Sets for Linear Combinations of Fixed and Random Effects

D. Harville, 1976 .

Comment on “On the Power of the F-test for Hypotheses in a Linear Model,” by Griffiths and Hill (2022)

D. Harville, 2022, American Statistician.

Mean Squared Error of Estimation or Prediction under a General Linear Model

Daniel R. Jeske, David A. Harville, D. Harville, 1992 .

Bayesian Inference Is Unaffected by Selection: Fact or Fiction?

David A. Harville, D. Harville, 2021, The American Statistician.

Assigning Probabilities to the Outcomes of Multi-Entry Competitions

David A. Harville, D. Harville, 1973 .

The Need for More Emphasis on Prediction: A “Nondenominational” Model-Based Approach

David A. Harville, D. Harville, 2014 .

USE OF THE GIBBS SAMPLER TO INVERT LARGE, POSSIBLY SPARSE, POSITIVE DEFINITE MATRICES

David A. Harville, D. Harville, 1999 .

Some new algorithms for computing restricted maximum likelihood estimates of variance components

D. Harville, T. Callanan, 1991 .

Variances of Variance-Component Estimators for the Unbalanced 2-Way Cross Classification with Application to Balanced Incomplete Block Designs

D. Harville, 1969 .

Statistical Dependence between Subclass Means and the Numbers of Observations in the Subclasses for the Two-Way Completely-Random Classification

David A. Harville, D. Harville, 1968 .

Simple derivations for two Jacobians of basic importance in multivariate statistics

D. Harville, 2000 .

Experimental Randomization: Who Needs It?

David A. Harville, D. Harville, 1975 .

On the unbiasedness of the Papadakis estimator and other nonlinear estimators of treatment contrasts in field-plot experiments

D. Harville, D. Zimmerman, 1989 .