Author:
Publisher:
ISBN: 9789462579088
Category :
Languages : en
Pages : 205
Book Description
Shortening Or Omitting the Dry Period in Dairy Cows
Consequences of Dry Period Length and Dietary Energy Source on Physiological Health Variables in Dairy Cows and Calves
Dry Period Length of Dairy Cows
Effects of Shortening the Dry Period from 60 to 40 Days on Subsequent Lactational Performance and Colostrium Production of Dairy Cows
Author: Deborah Jean Grusenmeyer
Publisher:
ISBN:
Category :
Languages : en
Pages : 104
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 104
Book Description
More Milking Days with Lower Yields
Effects of Varying Dry Period Length on Lactation Performance, Efficiency of Production and Reproduction, and Energy Status of Dairy Cattle
Pelleted Beet Pulp Substituted for High-moisture Corn
Author: Jennifer Anne Voelker Linton
Publisher:
ISBN:
Category : Beets
Languages : en
Pages : 308
Book Description
Publisher:
ISBN:
Category : Beets
Languages : en
Pages : 308
Book Description
Effects of Dry Period Length on Milk Parameters, Animal Health, and Reproduction During the Subsequant Lactation in Holstein Dairy Cattle
Lactation Length Management
The R Book
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.