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作者：SAVAGE, IR
摘要：This bibliography covers a special field of statistics to which an increasing amount of journal space is being devoted. Very little of it appears in text book form. Almost 1000 papers are listed alphabetically by author and each is assigned to one or more major groupings within the field. Following this listing, papers are classified by authors within the groupings to facilitate reference to a particular topic such as goodness of fit or systematic statistics. Supplements to the bibliography wi...
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作者：COCHRAN, WG; MOSTELLER, F; TUKEY, JW
摘要：This paper presents the text, but not the appendices, of the report of a committee appointed in 1950 by the Commission on Statistical Standards of the American Statistical Association. The purpose of the committee was to appraise the statistical methods used in Sexual Behavior in the Human Male by Kinsey, Pomeroy and Martin. A critical examination was made of interviewing techniques, methodological checks, sampling methods, methods of analysis, and accuracy and validity of interpretation. In a...
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作者：DURBIN, J
摘要：A method is given for incorporating into a multiple regression problem an extraneous estimate of one of the coefficients and its variance. It is shown to be more efficient than the usual procedure of using the estimated coefficient directly to correct observed values of the dependent variate. A numerical example is given.
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作者：ANDERSON, RL
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作者：CLARK, RE
摘要：This table gives the 0.5, 1.0, 2.5 and 5.0 percentage points, to four significant figures, of the incomplete beta function. As the partial sum of the binomial series, the table covers sample sizes from 10 to 50. Binomial confidence limits and lower percentage points of all order statistics may be read directly from the table-Percentage points of the F distr. may be obtained by a simple transformation.
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作者：RIDER, PR
摘要：A method is given for estimating the parameter of a Poisson distr. when one or more classes at the lower end of the sample are missing. The method is checked by random sampling expts. and by comparison with maximum likelihood estimates.
