ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501228

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

* A review article onSexual Behavior in the Human Female, by Alfred C. Kinsey, Wardell B. Pomeroy, Clyde B. Martin, and Paul H. Gebhard. Philadelphia and London: W. B. Saunders Company, 1953. Pp. 842; $8.00.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501229

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

* Prepared in connection with research sponsored by the Office of Naval Research. Presented to the American Statistical Association and the Biometric Society 28 December 1953.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501230

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

When populations are cross-classified with respect to two or more classifications or polytomies, questions often arise about the degree of association existing between the several polytomies. Most of the traditional measures or indices of association are based upon the standard chi-square statistic or on an assumption of underlying joint normality. In this paper a number of alternative measures are considered, almost all based upon a probabilistic model for activity to which the cross-classification may typically lead. Only the case in which the population is completely known is considered, so no question of sampling or measurement error appears. We hope, however, to publish before long some approximate distributions for sample estimators of the measures we propose, and approximate tests of hypotheses. Our major theme is that the measures of association used by an empirical investigator should not be blindly chosen because of tradition and convention only, although these factors may properly be given some weight, but should be constructed in a manner having operational meaning within the context of the particular problem.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501231

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

Some (large sample) significance points are tabulated for a distribution-free test of goodness of fit which was introduced earlier by the authors. The test, which uses the actual observations without grouping, is sensitive to discrepancies at the tails of the distribution rather than near the median. An illustration is given, using a numerical example used previously by Birnbaum in illustrating the Kolmogorov test.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501232

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

A distribution-free procedure for classifying a univariate random variable,z, into one of two populations on the basis of a sample of sizeN, in whichmmembers are classified into one population and the remaining (N–m) into the other, is given as follows: Lett(z) =k(z) –h(z), wherek(z) is the number of observations from the first population which are less thanzandh(z) is similarly defined for the second population. Ifz≦ ζ*, where ζ* is that value ofzfor whicht(z) is a maximum, classifyzinto the first population, otherwise into the second. The probability of correct classification, and its estimate, [N–m+t(ζ*)]/N, both converge in probability to the maximum attainable probability of correct classification.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501233

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

Normal probability paper is so designed that the cumulative distribution function of a normally distributed chance variable appears as a straight line. It is a common practice to plot the observations of a sample on this paper to obtain a graphical check for normality or to obtain a graphical estimate of the mean and variance of the population. Textbooks, however, are not very specific about methods for plotting, for, although the ordered observations are plotted along the abscissa, some uncertainties about the corresponding ordinates are left unresolved. The purpose of this paper is to indicate, with a special example, that any graphical technique should depend to a large extent on the purpose for which the graph is drawn. In particular, it presents tables covering sample sizes up to 10, for selecting the ordinates on normal probability paper so as to obtain “optimum” graphical estimates of the mean ζ and the standard deviation σ of a normal distribution. The somewhat more complicated problem of selecting the ordinates to obtain an “optimum” test for normality is not discussed.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501234

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

* This paper is a revision of parts III and IV of a doctoral thesis submitted to Princeton University. Preparation of this paper was assisted by a contract with the Office of Naval Research. Paper No. 293 from the Department of Biostatistics, School of Hygiene and Public Health, The Johns Hopkins University.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501235

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

摘要:

* Presented at a meeting of the American Statistical Association in Chicago, 29 December 1952.

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501236

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor

ISSN:0162-1459    

DOI:10.1080/01621459.1954.10501237

出版商:Taylor & Francis Group    

年代:1954

数据来源: Taylor