Zobrazeno 1 - 10
of 51
pro vyhledávání: '"R. R. Hocking"'
Autor:
R. R. Hocking
Publikováno v:
Journal of the American Statistical Association. 86:811-811
Autor:
R. R. Hocking
Publikováno v:
Journal of the American Statistical Association. 86:811
Autor:
R. R. Hocking
Publikováno v:
Technometrics. 25:219-230
The developments in linear regression methodology that have taken place during the 25-year history of Technometrics are summarized. Major topics covered are variable selection, biased estimation, robust estimation, and regression diagnostics.
Publikováno v:
Technometrics. 31:227-239
Publikováno v:
The Canadian Entomologist. 110:1015-1022
Nine sampling units for estimating southern pine beetle population within a tree are compared according to unit size, strata size, and number and type of sampling allocation. As a measure of performance of different sampling schemes or different unit
Publikováno v:
The Canadian Entomologist. 113:199-203
A technique is presented that requires no direct measurement of gallery length to estimate the total gallery length. Required to obtain the estimate are: (1) an appropriate model for time of year, sample period, and host, (2) tree diameter at breast
Publikováno v:
Technometrics. 18:425-437
Biased estimators of the coefficients in the linear regression model have been the subject of considerable discussion in the recent, literature. The purpose of this paper is to provide a unified approach to the study of biased estimators in an effort
Publikováno v:
Annals of Operations Research. 2:239-252
The model estimates, subject to restrictions, the functional relationship between national sulfur dioxide discharges and investment in control technology development. Estimates may be made for different product demands, allowed cost increases, and cl
Publikováno v:
Environmental Entomology. 7:636-640
Non-linear and linear models were compared to determine how well they described the within-tree distribution of egg gallery constructed by the southern pine beetle attacking short leaf pine. The model which resulted in the best description, i.e., sma
Publikováno v:
Management Science. 13:913-925
This paper considers the problem of fitting a quadratic regression law subject to the condition that the fitted surface be convex (concave). A computational algorithm is described for determining the constrained regression coefficients using an exist