摘要:

The volume of a tree trunk can be modeled as a cone or cylinder. However, the variance of the observations increases with volume. To obtain variance homogeneity the response can be transformed, which, unfortunately, destroys the geometric relationship. In this article the method of transforming both sides of an equation is applied to model the Minitab tree data and 70 observations on the volume of pine trees. In both examples the logarithmic transformation of both sides of the equation seems appropriate. To determine the effect of individual observations on this conclusion, the constructed variable for transforming both sides of the equation is derived. This variable is used to provide added variable plots for the transformation and in the construction of deletion estimates of the transformation parameter and of the relatedttest. The only statistical technique used is simple regression through the origin. The article concludes with some comments on forest mensuration as a source of statistical problems.

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476088

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

Although it is often true that the association between two variables may be due to some unobserved third variable, the plausiblity of such arguments needs careful examination. In 1987, a Canadian court accepted an explanation offered by the National Revenue Service of Canada that, in a test for promotion, lower pass rates among women than among men were explained by differences in rates of college attendance, a variable that was not directly observed by the court. We show that this explanation is not merely implausible. It is impossible. We conclude with a brief discussion of the role of a statistician in an argument involving an unobserved variable.

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476089

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

We describe a hybrid method for computing confidence intervals for linear combinations of coefficients in multiple regression, with an emphasis on intervals for fitted values. The hybrid method combines the Bonferroni and Scheffé approaches, and it is applicable when there are both continuous and discrete predictors. It often leads to intervals that are narrower than those produced by the Scheffé method. We also describe how the method can create simultaneous prediction intervals for new observations.

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476090

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476092

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476093

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476094

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

Statistics for Business: Data Analysis and Modeling (2nd ed.). J. D. Cryer and R. B. Miller. Belmont, CA: Wadsworth, 1994. xxi + 883 pp. $53.95. Reviewed by Michael D. Conerly and William H. Woodall

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476095

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476096

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476097

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor

摘要:

This article has no abstract

ISSN:0003-1305    

DOI:10.1080/00031305.1994.10476077

出版商:Taylor & Francis Group    

年代:1994

数据来源: Taylor