The Boston Area Diary Study and the Moral Citizenship of Care

This paper describes the theoretical foundations, empirical findings, and practical and philosophical implications of the Boston Area Diary Study (BADS), a study of the caring behavior of 44 participants over one calendar year. In particular, the paper presents an identification theory of care and discusses how it shaped the conceptualization, collection, and analysis of the data in a year-long diary study of daily voluntary assistance. The findings from the BADS (1) theoretically confirm the identification theory of care; (2) methodologically capture how individuals perceive and carry out caring behavior as a unity; and (3rpar; empirically document the existence of a moral citizenship in America that is substantially more vigorous than is implied by the usual indicators of civic and political citizenship.     

Tolerance regions for random vectors and best linear predictors

In the case that vectors X and Y have a joint multivariate normal distribution, tolerance regions are found for the best linear predictor of Y using X if samples are used to estimate the regression coeffierante. Tolerance regions are also found for Y. In addition, simultaneous tolerance intervals for all linear functions of Y or of the best linear predictor of Y using X are found.     

Statistical Computing Software Reviews

This department includes the two sections New Developments in Statistical Computing and Statistical Computing Software Reviews; suitable contents for each of these sections is described under the respective section heading. Articles submitted for the department, outside the two sections, should not be highly technical and should be relevant to the teaching or practice of statistical computing.

This section is similar in organization to a Book Review section in other journals; however, software of interest to statisticians is the subject of review here. Emphasis is on software for microcomputers. Programs that operate only in larger mainframe computers will seldom receive review. Normally, producers of programs make a copy of their product available to the Section Editor, who then selects one or more persons to test the product and prepare a review.

Producers of computer software who wish to have their product reviewed are invited to contact the Section Editor, Professor Kenneth Berk, Department of Mathematics, 313 Stevenson Hall, Illinois State University, Normal, IL 61761.

Findings and opinions expressed in every review are solely those of the author. They should not be construed as reflecting endorsement of the product, or opinions held, by the American Statistical Association, nor is any warranty implied about any product reviewed.

SYSTAT Leland Wilkinson. Available from Systat, Inc., 603 Main St., Evanston, IL 60202. $495 (multiple copy and site fees available). Reviewed by Mark I. Scherwish

AIDA, Version 9/82 David A. Lingwood, Available from Action-Research Northwest, 11442 Marine View Drive, S.W., Seattle, WA 98146. $235. Reviewed by Walter Liggett

MSUSTAT, MS/PC-DOS and CP/M-80 Version 2.20 Richard E. Lund. Available from Research and Development, Inc., Montana State University, Bozeman, MT 59717–0002. $187.50 (university and multiple-copy discounts available). Reviewed by Mervyn G. Marasinghe     

The dependent variable of the independent sector: the definition and measurement of giving and volunteering

This paper addresses three topics to which researchers should turn their attention in regard to the dependent variable of giving and volunteering. The first is to develop an expanded definition of philanthropy revolving around the notion of gift and the relations of exchange and around the theological virtue of charity and the emotional dispositions of care, altruism, and love of neighbour. The second is to attend to measurement problems in regard to operationalising giving and volunteering; obtaining comparable information from givers and non-givers; improving the reliability of the data, including an effort to reduce the amount of missing data; and establishing a consistent unit of analysis. The third direction is to conduct some innovative research activity to obtain better measures and understandings of giving and volunteering, including development of a diary study, closer analysis of the relationship between class and giving, and attention to measuring the social effects or outcomes of philanthropic activity.An earlier version of this paper was presented at the Conference on Charitable Statistics sponsored by the New York University School of Law Program on Philanthropy and the Law, Indiana University Center on Philanthropy, Duke University Center for the Study of Philanthropy and Voluntarism, Washington, D.C., 8 May 1992.     

Resolution of Godambe's paradox

Two versions of a statistical paradox involving an ancillarity principle have recently been proposed by Godambe (1979, 1982). In this note, we point out that the two versions of his paradox are actually quite different, and we resolve both of them by investigating their relationship to randomization. The first version of Godambe's paradox was criticized earlier by Good (1980), but we believe his argument to be flawed.     

Correction to: On the equivalence of conglomerability and disintegrability for unbounded random variables

Statistical Methods & Applications -     

Linear discrimination for three known normal populations

A random vector is assumed to have one of three known multivariate normal distributions with equal covariance matrices. It is desired to separate the three distributions by means of a single linear discriminant function. Such a function can lead to a classification rule. The function whose classification rule minimizes the average of the three probabilities of misclassification is found. Also the function is found whose rule minimizes the maximum of the three probabilities of misclassification.     

What finite-additivity can add to decision theory

Statistical Methods & Applications - We examine general decision problems with loss functions that are bounded below. We allow the loss function to assume the value $$\infty $$ . No other...