I. Guttman

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Care and Handling of Univariate or Multivariate Outliners in Detecting Spuriosity—a Bayesian Approach

I. Guttman, 1973 .

Comparing probabilistic methods for outlier detection in linear models

I. Guttman, D. Peña, 1993 .

The Use of the Concept of a Future Observation in Goodness‐Of‐Fit Problems

I. Guttman, 1967 .

Bayesian Analysis of Binary Data Subject to Misclassification

Michael Evans, Tim B. Swartz, Irwin Guttman, 1996 .

Numerical Aspects in Estimating the Parameters of a Mixture of Normal Distributions

I. Olkin, M. Evans, I. Guttman, 1992 .

A Common Model Selection Criterion

N. Draper, I. Guttman, 1987 .

Treating bias as variance for experimental design purposes

N. Draper, I. Guttman, 1992 .

Linear models : an introduction

I. Guttman, 1982 .

Response Surface Designs in Flexible Regions

N. Draper, I. Guttman, 1986 .

Confidence intervals versus regions

Irwin Guttman, Norman R. Draper, N. Draper, 1995 .

Bayesian Analysis of Stochastically Ordered Distributions of Categorical Variables

Tim B. Swartz, Irwin Guttman, Michael Evans, 1997 .

A bayesian approach to a reliability problem: Theory, analysis and interesting numerics

I. Guttman, G. Papandonatos, 1997 .

Least Squares Estimation for a Class of Non-Linear Models

V. Pereyra, I. Guttman, H. Scolnik, 1973 .

Bhattacharyya Bounds without Regularity Assumptions

Irwin Guttman, Donald Fraser, D. Fraser, 1952 .

The distribution of certain regression statistics

Irwin Guttman, Norman R. Draper, H. Kanemasu, 1971 .

Optimal collapsing of mixture distributions in robust recursive estimation

Irwin Guttman, Daniel Peña, I. Guttman, 1989 .

Prediction based on response surface data obtained with random blocking

I. Guttman, U. Menzefricke, 1994 .

Robust recursive estimation for correlated observations

Dennis K. J. Lin, Irwin Guttman, I. Guttman, 1995 .

Bayesian assessment of assumptions of regression analysis

N. Draper, I. Guttman, P. Bagchi, 1990 .

Bayesian inference for masked system lifetime data

Frank M. Guess, Irwin Guttman, Benjamin Reiser, 1995 .

Statistical Tolerance Regions: Classical and Bayesian

I. Guttman, I. Guttman, 1970 .

Prediction Limits for the Inverse Gaussian Distribution

I. Guttman, R. Chhikara, 1982 .

Investigation of Rules for Dealing With Outliers in Small Samples from the Normal Distribution: I: Estimation of the Mean

Irwin Guttman, Dennis E. Smith, I. Guttman, 1969 .

Premium and Protection of Several Procedures For Dealing With Outliers When Sample Sizes Are Moderate to Large

Irwin Guttman, I. Guttman, 1973 .

k Simultaneous Measurement Procedures: A Bayesian Approach

N. Draper, I. Guttman, 1975 .

Best populations and tolerance regions

I. Guttman, 1961 .

All Bias Designs for Spline Functions, Part II.

N. Draper, I. Guttman, Peter R. Lipow, 1974 .

l A BAYESIAN LOOK AT DIAGNOSTICS r-- IN THE UNIVARIATE LINEAR MODEL

I. Guttman, Daniel Pefia, 2008 .

A Remark on the Optimal Regression Designs with Previous Observations of Covey-Crump and Silvey

I. Guttman, 1971 .

Some Bayesian stratified two-phase sampling results.

N. Draper, I. Guttman, 1968, Biometrika.

Conjugate bayesian inference for structural models

A. P. Dawid, Irwin Guttman, A. Dawid, 1981 .

Inconsistencies in the Villegas Method of Determining a Prior Distribution

I. Guttman, W. Tan, 1974 .

A Disguised Wishart Variable and a Related Theorem

I. Guttman, W. Tan, 1971 .

A bayesian approach to prediction in analysis of variance settings

I. Guttman, Gambino G.Jack, 1986 .

Introductory Engineering Statistics

Irwin Guttman, M. Stone, I. Guttman, 1965 .

Optimum Tolerance Regions and Power When Sampling From Some Non-Normal Universes

I. Guttman, 1959 .

On the Power of Optimum Tolerance Regions when Sampling from Normal Distributions

I. Guttman, 1957 .

On Beale's Measures of Non-linearity

Irwin Guttman, Duane A. Meeter, D. Meeter, 1965 .

USE OF TRANSFORMATIONS ON PARAMETERS IN NON-LINEAR THEORY. II. MEASURES OF NONLINEARITY AND TRANSFORMATIONS TO REDUCE NON-LINEARITY,

D. Meeter, I. Guttman, 1964 .

Bayesian Inference on Parameters Associated with Families Closed under Reciprocation.

N. Draper, I. Guttman, 1978 .

Statistical inference for Pr(Y < X): The normal case

Irwin Guttman, Benjamin Reiser, B. Reiser, 1986 .

Statistical Inference for Reliability from Stress Strength Relationships: The Normal Case.

B. Reiser, I. Guttman, 1984 .

Transformation of Life-Test Data

N. Draper, I. Guttman, 1968, Canadian Mathematical Bulletin.

Introductory Engineering Statistics

S. S. Wilks, A. Huitson, Irwin Guttman, 1965 .

USE OF TRANSFORMATION ON PARAMETERS IN NON-LINEAR THEORY. I. TRANSFORMATIONS TO ACCELERATE CONVERGENCE IN NON-LINEAR LEAST SQUARES.

D. Meeter, I. Guttman, 1964 .

A note on a series solution of a problem in estimation

I. Guttman, 1958 .

Unequal group variances in the fixed-effects one-way analysis of variance: a Bayesian sidelight.

N. Draper, I. Guttman, 1966, Biometrika.

The use of the disguised Wishart distribution in a Bayesian approach to tolerance region construction

I. Guttman, W. Tan, 1973 .

Robustness to Spurious Observations of Linearized Hodges-Lehmann Estimators and Anscombe

Irwin Guttman, Charles H. Kraft, C. Kraft, 1980 .

A comparison of alternative tests for lack of fit

N. Draper, I. Guttman, 1987 .

Procedures for investigating outliers when estimating in the general univariate linear situation-nonfull rank case

R. Dutter, I. Guttman, 1976 .

Theoretical considerations of the multivariate von Mises-Fisher distribution

Irwin Guttman, I. Guttman, Parthasarathy Bagchi, 1988 .

A new criterion for variable selection

Irwin Guttman, R. Philips, I. Guttman, 1998 .

A Bayesian look at diagnostics in the univariate linear model

Irwin Guttman, Daniel Peña, I. Guttman, 1992 .

Prior Elicitation, Assessment and Inference with a Dirichlet Prior

Michael Evans, Irwin Guttman, Peiying Li, 2017, Entropy.

Optimally and computations for relative surprise inferences

Tim B. Swartz, Irwin Guttman, Michael Evans, 2006 .

THE VALUE OF PRIOR INFORMATION.

N. Draper, I. Guttman, 1967 .

Sample size choice for reliability verification in strength‐stress models

B. Reiser, I. Guttman, 1989 .

Confidence limits for stress-strength models with explanatory variables

Irwin Guttman, Benjamin Reiser, Richard A. Johnson, 1988 .

Analysis of Outliers with Adjusted Residuals

G. C. Tiao, I. Guttman, G. Tiao, 1967 .

Spuriosity and outliers in directional data

Irwin Guttman, I. Guttman, Parthasarathy Bagchi, 1990 .

A Bayesian Approach for Predicting With Polynomial Regression of Unknown Degree

Irwin Guttman, Daniel Peña, Dolores Redondas, 2003, Technometrics.

Introductory Engineering Statistics

irwin Guttman, I. Guttman, 1965 .

Bayesian Methods for Variance Component Models

Irwin Guttman, Tom Leonard, John S. J. Hsu, 1996 .

Shortest confidence and prediction intervals for the log-normal

I. Guttman, R. C. Dahiya, 1982 .

On the Consistency of the Two-Sample Empty Cell Test

I. Guttman, M. Csorgo, 1964, Canadian mathematical bulletin.

Some Aspects of Randomization

G. Box, I. Guttman, 1966 .

Two Simultaneous Measurement Procedures

Irwin Guttman, Norman Draper, N. Draper, 2016 .

Bayesian estimation procedures for finite populations, single stage designs, and normal populations

I. Guttman, C. Palit, 1973 .

Incorporating Overlap Effects from Neighbouring Units into Response Surface Models

Irwin Guttman, Norman R. Draper, N. Draper, 1980 .

Magnitudinal Effects in the Normal Multivariate Model

David E. Tyler, I. Guttman, U. Menzefricke, 1986 .

Estimation of a mean in the presence of an extreme observation

A. Feuerverger, I. Guttman, S. Sinha, 1982 .

Actual rejection levels in a certain stepwise test

N. Draper, I. Guttman, L. Lapczak, 1979 .

Conversion of ordinal attitudinal scales: An inferential Bayesian approach

Irwin Guttman, Michael Evans, Zvi Gilula, 2012 .

Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP

Irwin Guttman, Bhisham C. Gupta, Kalanka P. Jayalath, 2020 .

Bayesian analysis of hybrid life tests with exponential failure times

Irwin Guttman, Norman R. Draper, N. Draper, 1987 .

Bayesian Estimation of the Binomial Parameter

Irwin Guttman, Norman R. Draper, N. Draper, 1971 .

Effect of correlation on the estimation of a mean in the presence of spurious observations

Irwin Guttman, George C. Tiao, I. Guttman, 1978 .

Conditional inference for treatment and error in multivariate analysis

M. Srivastava, D. Fraser, I. Guttman, 1991 .

A comparison of three point estimators for P(Y < X) in the normal case

Irwin Guttman, B. Reiser, B. Reiser, 1987 .

Some Useful Matrix Lemmas in Statistical Estimation Theory*

I. Guttman, G. Tiao, 1964, Canadian Mathematical Bulletin.

A Bayesian Approach to Some Best Population Problems

Irwin Guttman, George C. Tiao, I. Guttman, 1964 .

All-Bias Designs for Spline Functions Joined at the Axes

N. Draper, I. Guttman, Peter R. Lipow, 1977 .

Care and Handling of Univariate Outliers in the General Linear Model to Detect Spuriosity- A

Rudolf Dutter, Irwin Guttman, Peter R. Freeman, 1978 .

Predictive Distributions in the Presence of Measurement Errors

Ulrich Menzefricke, I. Guttman, U. Menzefricke, 1996, Probability in the Engineering and Informational Sciences.

On the Power of Optimum Tolerance Regions when Sampling from Normal Distributions

Irwin Guttman, I. Guttman, 1957 .

On the use of loss functions in the changepoint problem

I. Guttman, U. Menzefricke, 1982 .

Studentization and prediction problems in multivariate multiple regression

P. Hougaard, I. Guttman, 1985 .

Serial correlation and distributions on the shere

G. Styan, D. Fraser, I. Guttman, 1976 .

An index of rotatability

Irwin Guttman, Norman R. Draper, N. Draper, 1988 .

A Bayesian analogue of Paulson's lemma and its use in tolerance region construction when sampling from the multi-variate normal

I. Guttman, 1971 .

An index sampling algorithm for the Bayesian analysis of a class of model selection problems

David P. M. Scollnik, I. Guttman, 1994 .