Journal of the ... Vol. 82, No. 39...
Journal of the American Statistical Association
Journal of the American Statistical Association
Vol. 82, No. 397, Mar., 1987
Published by: Taylor & Francis, Ltd. on behalf of the American Statistical Association
https://www.jstor.org/stable/i314281
  • Journal Info
    Journal of the American Statistical Association
    Description: The Journal of the American Statistical Association (JASA) has long been considered the premier journal of statistical science. Science Citation Index reported JASA was the most highly cited journal in the mathematical sciences in 1991-2001, with 16,457 citations, more than 50% more than the next most highly cited journals. Articles in JASA focus on statistical applications, theory, and methods in economic, social, physical, engineering, and health sciences and on new methods of statistical education.
    Coverage: 1922-2016 (Vol. 18, No. 137 - Vol. 111, No. 516)
    Moving Wall: 5 years (What is the moving wall?)

    The "moving wall" represents the time period between the last issue available in JSTOR and the most recently published issue of a journal. Moving walls are generally represented in years. In rare instances, a publisher has elected to have a "zero" moving wall, so their current issues are available in JSTOR shortly after publication.
    Note: In calculating the moving wall, the current year is not counted.
    For example, if the current year is 2008 and a journal has a 5 year moving wall, articles from the year 2002 are available.

    Terms Related to the Moving Wall
    Fixed walls: Journals with no new volumes being added to the archive.
    Absorbed: Journals that are combined with another title.
    Complete: Journals that are no longer published or that have been combined with another title.
    ISSN: 01621459
    EISSN: 1537274X
    Subjects: Science & Mathematics, Statistics
    Collections: Arts & Sciences I Collection, JSTOR Archival Journal & Primary Source Collection, JSTOR Essential Collection, Mathematics & Statistics Collection
Table of Contents
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  1. Front Matter
    Front Matter
    https://www.jstor.org/stable/2289117
  2. The Importance of Statisticians
    The Importance of Statisticians (pp. 1-7)
    Donald W. Marquardt
    https://doi.org/10.2307/2289118
    https://www.jstor.org/stable/2289118
  3. Applications
    • Stochastic Blockmodels for Directed Graphs
      Stochastic Blockmodels for Directed Graphs (pp. 8-19)
      Yuchung J. Wang and George Y. Wong
      https://doi.org/10.2307/2289119
      https://www.jstor.org/stable/2289119
    • Impact of Chlorofluoromethanes on Stratospheric Ozone: A Statistical Analysis of Ozone Data for Trends
      Impact of Chlorofluoromethanes on Stratospheric Ozone: A Statistical Analysis of Ozone Data for Trends (pp. 20-30)
      Gregory C. Reinsel and George C. Tiao
      https://doi.org/10.2307/2289120
      https://www.jstor.org/stable/2289120
    • Markovian Forecast Processes
      Markovian Forecast Processes (pp. 31-37)
      Roman Krzysztofowicz
      https://doi.org/10.2307/2289121
      https://www.jstor.org/stable/2289121
    • Estimating a Common Relative Risk: Application in Equal Employment
      Estimating a Common Relative Risk: Application in Equal Employment (pp. 38-45)
      Joseph L. Gastwirth and Samuel W. Greenhouse
      https://doi.org/10.2307/2289122
      https://www.jstor.org/stable/2289122
    • A Model for Multinomial Response Error Applied to Labor Flows
      A Model for Multinomial Response Error Applied to Labor Flows (pp. 46-51)
      Tin Chiu Chua and Wayne A. Fuller
      https://doi.org/10.2307/2289123
      https://www.jstor.org/stable/2289123
    • Comparison of Purposive and Random Sampling Schemes for Estimating Capital Expenditure
      Comparison of Purposive and Random Sampling Schemes for Estimating Capital Expenditure (pp. 52-57)
      T. S. Karmel and Malti Jain
      https://doi.org/10.2307/2289124
      https://www.jstor.org/stable/2289124
    • Editing and Imputation for Quantitative Survey Data
      Editing and Imputation for Quantitative Survey Data (pp. 58-68)
      Roderick J. A. Little and Philip J. Smith
      https://doi.org/10.2307/2289125
      https://www.jstor.org/stable/2289125
    • Market Transactions and Hypothetical Demand Data: A Comparative Study
      Market Transactions and Hypothetical Demand Data: A Comparative Study (pp. 69-75)
      Mark Dickie, Ann Fisher and Shelby Gerking
      https://doi.org/10.2307/2289126
      https://www.jstor.org/stable/2289126
  4. Theory and Methods
    • Probabilistic Solution of Ill-Posed Problems in Computational Vision
      Probabilistic Solution of Ill-Posed Problems in Computational Vision (pp. 76-89)
      J. Marroquin, S. Mitter and T. Poggio
      https://doi.org/10.2307/2289127
      https://www.jstor.org/stable/2289127
    • Inference for Discrete Markov Fields: The Simplest Nontrivial Case
      Inference for Discrete Markov Fields: The Simplest Nontrivial Case (pp. 90-96)
      David K. Pickard
      https://doi.org/10.2307/2289128
      https://www.jstor.org/stable/2289128
    • Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm
      Maximum Likelihood Computations with Repeated Measures: Application of the EM Algorithm (pp. 97-105)
      Nan Laird, Nicholas Lange and Daniel Stram
      https://doi.org/10.2307/2289129
      https://www.jstor.org/stable/2289129
    • Reconciling Bayesian and Frequentist Evidence in the One-Sided Testing Problem
      Reconciling Bayesian and Frequentist Evidence in the One-Sided Testing Problem (pp. 106-111)
      George Casella and Roger L. Berger
      https://doi.org/10.2307/2289130
      https://www.jstor.org/stable/2289130
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence (pp. 112-122)
      James O. Berger and Thomas Sellke
      https://doi.org/10.2307/2289131
      https://www.jstor.org/stable/2289131
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 123-125)
      John W. Pratt
      https://doi.org/10.2307/2289132
      https://www.jstor.org/stable/2289132
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 125-128)
      I. J. Good
      https://doi.org/10.2307/2289133
      https://www.jstor.org/stable/2289133
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 128-129)
      David V. Hinkley
      https://doi.org/10.2307/2289134
      https://www.jstor.org/stable/2289134
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 129-130)
      James M. Dickey
      https://doi.org/10.2307/2289135
      https://www.jstor.org/stable/2289135
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 130-131)
      Stephen B. Vardeman
      https://doi.org/10.2307/2289136
      https://www.jstor.org/stable/2289136
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Comment (pp. 131-133)
      C. N. Morris
      https://doi.org/10.2307/2289137
      https://www.jstor.org/stable/2289137
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Rejoinder
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Rejoinder (pp. 133-135)
      George Casella and Roger L. Berger
      https://doi.org/10.2307/2289138
      https://www.jstor.org/stable/2289138
    • Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Rejoinder
      Testing a Point Null Hypothesis: The Irreconcilability of P Values and Evidence: Rejoinder (pp. 135-139)
      James O. Berger and Thomas Sellke
      https://doi.org/10.2307/2289139
      https://www.jstor.org/stable/2289139
    • Bayesian Models for Directed Graphs
      Bayesian Models for Directed Graphs (pp. 140-148)
      George Y. Wong
      https://doi.org/10.2307/2289140
      https://www.jstor.org/stable/2289140
    • Assessing the Accuracy of Normal Approximations
      Assessing the Accuracy of Normal Approximations (pp. 149-154)
      James S. Hodges
      https://doi.org/10.2307/2289141
      https://www.jstor.org/stable/2289141
    • Calibrating Confidence Coefficients
      Calibrating Confidence Coefficients (pp. 155-162)
      Wei-Yin Loh
      https://doi.org/10.2307/2289142
      https://www.jstor.org/stable/2289142
    • Bootstrap Confidence Intervals and Bootstrap Approximations
      Bootstrap Confidence Intervals and Bootstrap Approximations (pp. 163-170)
      Thomas DiCiccio and Robert Tibshirani
      https://doi.org/10.2307/2289143
      https://www.jstor.org/stable/2289143
    • Better Bootstrap Confidence Intervals
      Better Bootstrap Confidence Intervals (pp. 171-185)
      Bradley Efron
      https://doi.org/10.2307/2289144
      https://www.jstor.org/stable/2289144
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 186-187)
      S. C. Peters and D. A. Freedman
      https://doi.org/10.2307/2289145
      https://www.jstor.org/stable/2289145
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 187-188)
      Thomas DiCiccio and Robert Tibshirani
      https://doi.org/10.2307/2289146
      https://www.jstor.org/stable/2289146
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 188-190)
      Wei-Yin Loh and C. F. J. Wu
      https://doi.org/10.2307/2289147
      https://www.jstor.org/stable/2289147
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (p. 190)
      D. R. Cox
      https://doi.org/10.2307/2289148
      https://www.jstor.org/stable/2289148
    • Better Boostrap Confidence Intervals: Comment
      Better Boostrap Confidence Intervals: Comment (p. 191)
      P. J. Bickel
      https://doi.org/10.2307/2289149
      https://www.jstor.org/stable/2289149
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 192-194)
      Nathaniel Schenker
      https://doi.org/10.2307/2289150
      https://www.jstor.org/stable/2289150
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 195-196)
      Rudolf Beran
      https://doi.org/10.2307/2289151
      https://www.jstor.org/stable/2289151
    • Better Bootstrap Confidence Intervals: Comment
      Better Bootstrap Confidence Intervals: Comment (pp. 196-197)
      William R. Schucany
      https://doi.org/10.2307/2289152
      https://www.jstor.org/stable/2289152
    • Better Bootstrap Confidence Intervals: Rejoinder
      Better Bootstrap Confidence Intervals: Rejoinder (pp. 198-200)
      Bradley Efron
      https://doi.org/10.2307/2289153
      https://www.jstor.org/stable/2289153
    • Outer and Inner Confidence Intervals for Finite Population Quantile Intervals
      Outer and Inner Confidence Intervals for Finite Population Quantile Intervals (pp. 201-204)
      John S. Meyer
      https://doi.org/10.2307/2289154
      https://www.jstor.org/stable/2289154
    • A Fast Model Selection Procedure for Large Families of Models
      A Fast Model Selection Procedure for Large Families of Models (pp. 205-213)
      David Edwards and Tomas Havranek
      https://doi.org/10.2307/2289155
      https://www.jstor.org/stable/2289155
    • Simultaneous Confidence Bounds in Multiple Regression Using Predictor Variable Constraints
      Simultaneous Confidence Bounds in Multiple Regression Using Predictor Variable Constraints (pp. 214-219)
      Daniel Q. Naiman
      https://doi.org/10.2307/2289156
      https://www.jstor.org/stable/2289156
    • A Minimax Property of Linear Regression
      A Minimax Property of Linear Regression (p. 220)
      Gideon Schwarz
      https://doi.org/10.2307/2289157
      https://www.jstor.org/stable/2289157
    • Approximate Confidence Limits for a Parameter Function in Nonlinear Regression
      Approximate Confidence Limits for a Parameter Function in Nonlinear Regression (pp. 221-230)
      G. P. Y. Clarke
      https://doi.org/10.2307/2289158
      https://www.jstor.org/stable/2289158
    • Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting
      Weighted Local Regression and Kernel Methods for Nonparametric Curve Fitting (pp. 231-238)
      Hans-Georg Muller
      https://doi.org/10.2307/2289159
      https://www.jstor.org/stable/2289159
    • Inequality-Constrained Multivariate Smoothing Splines with Application to the Estimation of Posterior Probabilities
      Inequality-Constrained Multivariate Smoothing Splines with Application to the Estimation of Posterior Probabilities (pp. 239-248)
      Miguel Villalobos and Grace Wahba
      https://doi.org/10.2307/2289160
      https://www.jstor.org/stable/2289160
    • Exploratory Projection Pursuit
      Exploratory Projection Pursuit (pp. 249-266)
      Jerome H. Friedman
      https://doi.org/10.2307/2289161
      https://www.jstor.org/stable/2289161
    • Estimation of a Convex Density Contour in Two Dimensions
      Estimation of a Convex Density Contour in Two Dimensions (pp. 267-270)
      J. A. Hartigan
      https://doi.org/10.2307/2289162
      https://www.jstor.org/stable/2289162
    • Simultaneous Confidence Regions for the Frequency Analysis of Multiple Time Series
      Simultaneous Confidence Regions for the Frequency Analysis of Multiple Time Series (pp. 271-275)
      Alan J. Izenman and Sanat K. Sarkar
      https://doi.org/10.2307/2289163
      https://www.jstor.org/stable/2289163
    • Estimating Trend and Growth Rates in Seasonal Time Series
      Estimating Trend and Growth Rates in Seasonal Time Series (pp. 276-282)
      George E. P. Box, David A. Pierce and Paul Newbold
      https://doi.org/10.2307/2289164
      https://www.jstor.org/stable/2289164
    • Chi-Squared-Type Tests for Ordered Alternatives in Contingency Tables
      Chi-Squared-Type Tests for Ordered Alternatives in Contingency Tables (pp. 283-291)
      Vijayan N. Nair
      https://doi.org/10.2307/2289165
      https://www.jstor.org/stable/2289165
    • Tests for Patterned Alternatives in k-Sample Problems
      Tests for Patterned Alternatives in k-Sample Problems (pp. 292-299)
      Thomas P. Hettmansperger and Robert M. Norton
      https://doi.org/10.2307/2289166
      https://www.jstor.org/stable/2289166
    • Minimax Estimation of the Mixing Proportion of Two Known Distributions
      Minimax Estimation of the Mixing Proportion of Two Known Distributions (pp. 300-304)
      J. C. van Houwelingen and L. de Vries
      https://doi.org/10.2307/2289167
      https://www.jstor.org/stable/2289167
    • Nonparametric Estimation of the Probability of Discovering a New Species
      Nonparametric Estimation of the Probability of Discovering a New Species (pp. 305-311)
      Murray K. Clayton and Edward W. Frees
      https://doi.org/10.2307/2289168
      https://www.jstor.org/stable/2289168
    • Supremum Versions of the Log-Rank and Generalized Wilcoxon Statistics
      Supremum Versions of the Log-Rank and Generalized Wilcoxon Statistics (pp. 312-320)
      Thomas R. Fleming, David P. Harrington and Margaret O'Sullivan
      https://doi.org/10.2307/2289169
      https://www.jstor.org/stable/2289169
  5. Introductory Textbooks: A Framework for Evaluation
    Introductory Textbooks: A Framework for Evaluation (pp. 321-339)
    Statistics: Concepts and Applications. by Donald R. Anderson, Dennis J. Sweeney, Thomas A. Williams; Statistics and Probability and Their Applications. by Patrick Brockett, Arnold Levine; A Basic Course in Statistics. by G. M. Clarke, D. Cooke; Statistics: The Exploration and Analysis of Data. by Jay Devore, Roxy Peck; Statistics: A First Course (4th ed.). by John E. Freund, Richard Manning Smith; Statistics: An Introduction. by Robert N. Goldman, Joel S. Weinberg; Statistics: Principles and Methods. by Richard Johnson, Ghouri Bhattacharyya; Introductory Statistics. by Ronald J. Wonnacott, Thomas H. Wonnacott; Understanding Statistics. by Lyman Ott, William Mendenhall; Statistics (2nd ed.). by Robert S. Witte; Statistics by David Freedman, Robert Pisani, Roger Purves; An Introduction to Contemporary Statistics. by Lambert H. Koopmans; An Introduction to Mathematical Statistics and Its Applications. by Richard J. Larsen, Morris L. Marx; Beginning Statistics: With Data Analysis. by Frederick Mosteller, Stephen E. Fienberg, Robert E. K. Rourke; Statistics by Example. by Terry Sincich
    Review by: George W. Cobb
    https://doi.org/10.2307/2289170
    https://www.jstor.org/stable/2289170
  6. Book Reviews
    • [List of Book Reviews]
      [List of Book Reviews] (p. 340)
      https://www.jstor.org/stable/2289171
    • Jack Carl Kiefer Collected Papers III: Design of Experiments. by Jack Carl Kiefer, Lawrence D. Brown, Ingram Olkin, Jerome Sacks, Henry P. Wynn
      Jack Carl Kiefer Collected Papers III: Design of Experiments. by Jack Carl Kiefer, Lawrence D. Brown, Ingram Olkin, Jerome Sacks, Henry P. Wynn (pp. 341-342)
      Review by: Roger Farrell
      https://doi.org/10.2307/2289172
      https://www.jstor.org/stable/2289172
    • Making Decisions. by D. V. Lindley
      Making Decisions. by D. V. Lindley (pp. 342-343)
      Review by: Kathryn Chaloner
      https://doi.org/10.2307/2289173
      https://www.jstor.org/stable/2289173
    • Limit Theorems for Sums of Exchangeable Random Variables. by Robert L. Taylor, Peter Z. Daffer, Ronald F. Patterson
      Limit Theorems for Sums of Exchangeable Random Variables. by Robert L. Taylor, Peter Z. Daffer, Ronald F. Patterson (p. 343)
      Review by: David J. Aldous
      https://doi.org/10.2307/2289174
      https://www.jstor.org/stable/2289174
    • Some Large Deviation Results in Statistics. by A. D. M. Kester
      Some Large Deviation Results in Statistics. by A. D. M. Kester (pp. 343-344)
      Review by: James C. Fu
      https://doi.org/10.2307/2289175
      https://www.jstor.org/stable/2289175
    • Nonparametric Density Estimation: The L<sub>1</sub> View. by Luc Devroye, Laszlo Gyorfi
      Nonparametric Density Estimation: The L<sub>1</sub> View. by Luc Devroye, Laszlo Gyorfi (p. 344)
      Review by: James R. Thompson
      https://doi.org/10.2307/2289176
      https://www.jstor.org/stable/2289176
    • Outliers in Statistical Data. by Vic Barnett, Toby Lewis
      Outliers in Statistical Data. by Vic Barnett, Toby Lewis (pp. 344-345)
      Review by: Kartik R. Patel
      https://doi.org/10.2307/2289177
      https://www.jstor.org/stable/2289177
    • Multivariate Statistical Modeling. by Ronald Christensen
      Multivariate Statistical Modeling. by Ronald Christensen (p. 345)
      Review by: Peter C. Wollan
      https://doi.org/10.2307/2289178
      https://www.jstor.org/stable/2289178
    • Parameter Estimation for Stochastic Processes. by Yu A. Kutoyants
      Parameter Estimation for Stochastic Processes. by Yu A. Kutoyants (pp. 345-346)
      Review by: Yi-Ching Yao
      https://doi.org/10.2307/2289179
      https://www.jstor.org/stable/2289179
    • Martingales and Stochastic Integrals. by P. E. Kopp
      Martingales and Stochastic Integrals. by P. E. Kopp (p. 346)
      Review by: Peter J. Brockwell
      https://doi.org/10.2307/2289180
      https://www.jstor.org/stable/2289180
    • Random Measures. by Olav Kallenberg
      Random Measures. by Olav Kallenberg (pp. 346-347)
      Review by: Alan F. Karr
      https://doi.org/10.2307/2289181
      https://www.jstor.org/stable/2289181
    • Random Measures. by Olav Kallenberg
      Random Measures. by Olav Kallenberg (pp. 347-348)
      Review by: K. B. Athreya
      https://doi.org/10.2307/2289182
      https://www.jstor.org/stable/2289182
    • Exploring Data Tables, Trends, and Shapes. by David C. Hoaglin, Frederick Mosteller, John W. Tukey
      Exploring Data Tables, Trends, and Shapes. by David C. Hoaglin, Frederick Mosteller, John W. Tukey (p. 348)
      Review by: George Casella
      https://doi.org/10.2307/2289183
      https://www.jstor.org/stable/2289183
    • The Elements of Graphing Data. by William S. Cleveland
      The Elements of Graphing Data. by William S. Cleveland (pp. 348-349)
      Review by: Gary Simon
      https://doi.org/10.2307/2289184
      https://www.jstor.org/stable/2289184
    • Summing Up: The Science of Reviewing Research. by Richard J. Light, David B. Pillemer
      Summing Up: The Science of Reviewing Research. by Richard J. Light, David B. Pillemer (pp. 349-350)
      Review by: David Draper
      https://doi.org/10.2307/2289185
      https://www.jstor.org/stable/2289185
    • Statistical Methods for Meta-Analysis. by Larry Hedges, Ingram Olkin
      Statistical Methods for Meta-Analysis. by Larry Hedges, Ingram Olkin (pp. 350-351)
      Review by: Paul R. Rosenbaum
      https://doi.org/10.2307/2289186
      https://www.jstor.org/stable/2289186
    • Cognitive Aspects of Survey Methodology: Building a Bridge Between Disciplines. by Thomas B. Jabine, Miron L. Straf, Judith M. Tanur, Roger Tourangeau
      Cognitive Aspects of Survey Methodology: Building a Bridge Between Disciplines. by Thomas B. Jabine, Miron L. Straf, Judith M. Tanur, Roger Tourangeau (pp. 351-352)
      Review by: Wesley L. Schaible
      https://doi.org/10.2307/2289187
      https://www.jstor.org/stable/2289187
    • Procedural History of the 1940 Census of Population and Housing. by Robert M. Jenkins
      Procedural History of the 1940 Census of Population and Housing. by Robert M. Jenkins (p. 352)
      Review by: Charles B. Nam
      https://doi.org/10.2307/2289188
      https://www.jstor.org/stable/2289188
    • Urbanization in China: New Insights from the 1982 Census. by Sidney Goldstein; Population Mobility in the People's Republic of China. by Sidney Goldstein, Alice Goldstein
      Urbanization in China: New Insights from the 1982 Census. by Sidney Goldstein; Population Mobility in the People's Republic of China. by Sidney Goldstein, Alice Goldstein (p. 352)
      Review by: Charles B. Nam
      https://doi.org/10.2307/2289189
      https://www.jstor.org/stable/2289189
    • Behavioral and Social Science: Fifty Years of Discovery. by Neil J. Smelser, Dean R. Gerstein
      Behavioral and Social Science: Fifty Years of Discovery. by Neil J. Smelser, Dean R. Gerstein (pp. 352-353)
      Review by: Kenneth C. Land
      https://doi.org/10.2307/2289190
      https://www.jstor.org/stable/2289190
    • Religious Assortive Marriage in the United States. by Robert Alan Johnson
      Religious Assortive Marriage in the United States. by Robert Alan Johnson (p. 353)
      Review by: Stephen E. Fienberg
      https://doi.org/10.2307/2289191
      https://www.jstor.org/stable/2289191
    • Basic Content Analysis. by Robert Philip Weber
      Basic Content Analysis. by Robert Philip Weber (pp. 354-355)
      Review by: Klaus Krippendorff
      https://doi.org/10.2307/2289192
      https://www.jstor.org/stable/2289192
    • Time, Goods, and Well-Being. by F. Thomas Juster, Frank P. Stafford
      Time, Goods, and Well-Being. by F. Thomas Juster, Frank P. Stafford (p. 355)
      Review by: Seymour Sudman
      https://doi.org/10.2307/2289193
      https://www.jstor.org/stable/2289193
    • Longitudinal Analysis of Labor Market Data. by James J. Heckman, Burton Singer
      Longitudinal Analysis of Labor Market Data. by James J. Heckman, Burton Singer (pp. 355-356)
      Review by: Gary Solon
      https://doi.org/10.2307/2289194
      https://www.jstor.org/stable/2289194
    • Canonical Analysis: A Review with Applications in Ecology. by Robert Gittens
      Canonical Analysis: A Review with Applications in Ecology. by Robert Gittens (pp. 356-357)
      Review by: Murray K. Clayton
      https://doi.org/10.2307/2289195
      https://www.jstor.org/stable/2289195
    • Bioeconomic Modelling and Fisheries Management. by Colin W. Clark
      Bioeconomic Modelling and Fisheries Management. by Colin W. Clark (p. 357)
      Review by: Daniel F. Spulber
      https://doi.org/10.2307/2289196
      https://www.jstor.org/stable/2289196
    • Fundamentals of Clinical Trials. (2nd ed.). by Lawrence M. Friedman, Curt D. Furberg, David L. Demets
      Fundamentals of Clinical Trials. (2nd ed.). by Lawrence M. Friedman, Curt D. Furberg, David L. Demets (p. 358)
      Review by: Stephen L. George
      https://doi.org/10.2307/2289197
      https://www.jstor.org/stable/2289197
    • Fundamentals of Statistics in the Biological, Medical and Health Sciences. by Richard P. Runyon
      Fundamentals of Statistics in the Biological, Medical and Health Sciences. by Richard P. Runyon (pp. 358-359)
      Review by: Livia R. Turgeon
      https://doi.org/10.2307/2289198
      https://www.jstor.org/stable/2289198
    • Clinical Epidemiology: The Architecture of Clinical Research. by Alvan R. Feinstein
      Clinical Epidemiology: The Architecture of Clinical Research. by Alvan R. Feinstein (pp. 359-360)
      Review by: Beth Dawson-Saunders
      https://doi.org/10.2307/2289199
      https://www.jstor.org/stable/2289199
    • Clinical Trials: A Pratical Approach. by Stuart J. Pocock
      Clinical Trials: A Pratical Approach. by Stuart J. Pocock (pp. 360-361)
      Review by: Susan Groshen
      https://doi.org/10.2307/2289200
      https://www.jstor.org/stable/2289200
    • Biostatistical Microcomputing in PASCAL. by Jerome H. Klotz, R. Daniel Meyer
      Biostatistical Microcomputing in PASCAL. by Jerome H. Klotz, R. Daniel Meyer (p. 361)
      Review by: Patrick E. Shrout
      https://doi.org/10.2307/2289201
      https://www.jstor.org/stable/2289201
    • SPSS: Advanced Statistics Guide. by Marija J. Norusis
      SPSS: Advanced Statistics Guide. by Marija J. Norusis (p. 361)
      Review by: Richard A. Johnson
      https://doi.org/10.2307/2289202
      https://www.jstor.org/stable/2289202
    • SPSS<sup>x</sup> Introductory Statistics Guide. by Marija J. Norusis; SPSS<sup>x</sup> User's Guide. by SPSS, Inc.
      SPSS<sup>x</sup> Introductory Statistics Guide. by Marija J. Norusis; SPSS<sup>x</sup> User's Guide. by SPSS, Inc. (p. 361)
      Review by: Robert B. Miller
      https://doi.org/10.2307/2289203
      https://www.jstor.org/stable/2289203
    • Claim Reserving in Non-Life Insurance. by G. C. Taylor
      Claim Reserving in Non-Life Insurance. by G. C. Taylor (p. 362)
      Review by: Glenn Meyers
      https://doi.org/10.2307/2289204
      https://www.jstor.org/stable/2289204
    • Risk Theory: The Stochastic Basis of Insurance (3rd ed.) by R. E. Beard, T. Pentikainen, E. Pesonen
      Risk Theory: The Stochastic Basis of Insurance (3rd ed.) by R. E. Beard, T. Pentikainen, E. Pesonen (p. 362)
      Review by: Harry H. Panjer
      https://doi.org/10.2307/2289205
      https://www.jstor.org/stable/2289205
    • Statistical Methods for Engineers. by Richard H. McCuen
      Statistical Methods for Engineers. by Richard H. McCuen (pp. 362-363)
      Review by: Charles G. Pfeifer
      https://doi.org/10.2307/2289206
      https://www.jstor.org/stable/2289206
    • Repairable Systems Reliability: Modeling, Inference, Misconceptions, and Their Causes. by Harold Ascher, Harry Feingold
      Repairable Systems Reliability: Modeling, Inference, Misconceptions, and Their Causes. by Harold Ascher, Harry Feingold (p. 363)
      Review by: Asit P. Basu
      https://doi.org/10.2307/2289207
      https://www.jstor.org/stable/2289207
    • Applied Regression Analysis and Experimental Design (Statistics: Textbooks and Monographs). by Richard J. Brook, Gregory C. Arnold
      Applied Regression Analysis and Experimental Design (Statistics: Textbooks and Monographs). by Richard J. Brook, Gregory C. Arnold (pp. 363-364)
      Review by: Mark P. Finster
      https://doi.org/10.2307/2289208
      https://www.jstor.org/stable/2289208
    • Nonparametric Methods for Quantitative Analysis. by Jean Dickinson Gibbons
      Nonparametric Methods for Quantitative Analysis. by Jean Dickinson Gibbons (pp. 364-365)
      Review by: Jessica Utts
      https://doi.org/10.2307/2289209
      https://www.jstor.org/stable/2289209
    • The Neutral Theory of Molecular Evolution. by Motoo Kimura
      The Neutral Theory of Molecular Evolution. by Motoo Kimura (p. 365)
      Review by: Edward Pollak
      https://doi.org/10.2307/2289210
      https://www.jstor.org/stable/2289210
  7. Publications Received
    Publications Received (pp. 366-367)
    https://www.jstor.org/stable/2289211
  8. Back Matter
    Back Matter
    https://www.jstor.org/stable/2289212
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