Searle, S. R. (Shayle R.) 1928
Overview
Works:  83 works in 346 publications in 4 languages and 6,825 library holdings 

Genres:  Conference papers and proceedings Handbooks and manuals 
Roles:  Author, Honoree, Editor, Thesis advisor 
Classifications:  QA279, 512.896 
Publication Timeline
.
Most widely held works by
S. R Searle
Linear models by
S. R Searle(
Book
)
55 editions published between 1971 and 2017 in English and Undetermined and held by 1,643 WorldCat member libraries worldwide
Describes general procedures of estimation and hypothesis testing for linear statistical models. Shows their application for unbalanced data to certain specific models that often arise in research and survey work
55 editions published between 1971 and 2017 in English and Undetermined and held by 1,643 WorldCat member libraries worldwide
Describes general procedures of estimation and hypothesis testing for linear statistical models. Shows their application for unbalanced data to certain specific models that often arise in research and survey work
Matrix algebra useful for statistics by
S. R Searle(
Book
)
36 editions published between 1982 and 2017 in English and Spanish and held by 1,027 WorldCat member libraries worldwide
This book addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theoremproof format and is selfcontained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations
36 editions published between 1982 and 2017 in English and Spanish and held by 1,027 WorldCat member libraries worldwide
This book addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theoremproof format and is selfcontained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of SAS, MATLAB, and R for the execution of matrix computations
Generalized, linear, and mixed models by
Charles E McCulloch(
Book
)
30 editions published between 2001 and 2011 in English and held by 973 WorldCat member libraries worldwide
This book provides an uptodate treatment of the techniques for developing and applying a wide variety of statistical models. It presents unified coverage of the theory behind generalized, linear, and mixed media models and highlights their similarities and differences in various construction, application, and computational aspects. A clear introduction to the basic ideas of fixed effects models, random effects models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide array of contexts. In addition, a discussion of general methods for the analysis of such models is presented with an emphasis on the method of maximum likelihood for the estimation of parameters. The authors also provide coverage of the latest statistical models for correlated, nonnormally distributed data. This second edition features: a new chapter that covers omitted covariates, incorrect random effects distribution, correlation of covariates and random effects, and variance estimation; a new chapter that treats shared random effected models, latent class models, and properties of models; a revised chapter on longitudinal data, which now includes a discussion of generalized linear models, modern advances in longitudinal data analysis, and the use between and within covariate decompositions; expanded coverage of marginal versus conditional models, and numerous new and updated examples
30 editions published between 2001 and 2011 in English and held by 973 WorldCat member libraries worldwide
This book provides an uptodate treatment of the techniques for developing and applying a wide variety of statistical models. It presents unified coverage of the theory behind generalized, linear, and mixed media models and highlights their similarities and differences in various construction, application, and computational aspects. A clear introduction to the basic ideas of fixed effects models, random effects models, and mixed models is maintained throughout, and each chapter illustrates how these models are applicable in a wide array of contexts. In addition, a discussion of general methods for the analysis of such models is presented with an emphasis on the method of maximum likelihood for the estimation of parameters. The authors also provide coverage of the latest statistical models for correlated, nonnormally distributed data. This second edition features: a new chapter that covers omitted covariates, incorrect random effects distribution, correlation of covariates and random effects, and variance estimation; a new chapter that treats shared random effected models, latent class models, and properties of models; a revised chapter on longitudinal data, which now includes a discussion of generalized linear models, modern advances in longitudinal data analysis, and the use between and within covariate decompositions; expanded coverage of marginal versus conditional models, and numerous new and updated examples
Matrix algebra for the biological sciences, including applications in statistics by
S. R Searle(
Book
)
31 editions published between 1966 and 1976 in English and held by 852 WorldCat member libraries worldwide
31 editions published between 1966 and 1976 in English and held by 852 WorldCat member libraries worldwide
Variance components by
S. R Searle(
Book
)
26 editions published between 1992 and 2010 in English and Undetermined and held by 776 WorldCat member libraries worldwide
"This broad array of topics will appeal to research workers, to students, and to anyone interested in the use of mixed models and variance components for statistically analyzing data. The book will serve as a reference for a wide spectrum of topics for practicing statisticians. For students, it is suitable for linear models courses that include material on mixed models, variance components, and prediction. For graduate courses, there are at least four levels at which the book can be used: (I) As part of a solid linear models course use Chapters 1, 3, and 4, with 2 as supplementary reading. (II) These same chapters, presented in detail, could also be used for a 1quarter, or slowly paced 1semester, course on variance components. (III) An advanced course would use Chapters 1 and 2 for an introduction, followed by an overview of Chapters 3 through 5. Then sections 8.18.3, Chapters 10 and 11, sections 9.19.4, ending with the mathematical synthesis of sections 12.112.5 would round out the course. (IV) Finally, the entire book would be suitable for a 2 semester or 3quarter course." "Nowhere else is there a book devoted solely to variance components with the breadth of topics found in this one."Jacket
26 editions published between 1992 and 2010 in English and Undetermined and held by 776 WorldCat member libraries worldwide
"This broad array of topics will appeal to research workers, to students, and to anyone interested in the use of mixed models and variance components for statistically analyzing data. The book will serve as a reference for a wide spectrum of topics for practicing statisticians. For students, it is suitable for linear models courses that include material on mixed models, variance components, and prediction. For graduate courses, there are at least four levels at which the book can be used: (I) As part of a solid linear models course use Chapters 1, 3, and 4, with 2 as supplementary reading. (II) These same chapters, presented in detail, could also be used for a 1quarter, or slowly paced 1semester, course on variance components. (III) An advanced course would use Chapters 1 and 2 for an introduction, followed by an overview of Chapters 3 through 5. Then sections 8.18.3, Chapters 10 and 11, sections 9.19.4, ending with the mathematical synthesis of sections 12.112.5 would round out the course. (IV) Finally, the entire book would be suitable for a 2 semester or 3quarter course." "Nowhere else is there a book devoted solely to variance components with the breadth of topics found in this one."Jacket
Linear models for unbalanced data by
S. R Searle(
Book
)
21 editions published between 1987 and 2006 in English and held by 654 WorldCat member libraries worldwide
21 editions published between 1987 and 2006 in English and held by 654 WorldCat member libraries worldwide
Matrix algebra for business and economics by
S. R Searle(
Book
)
10 editions published in 1970 in English and held by 489 WorldCat member libraries worldwide
10 editions published in 1970 in English and held by 489 WorldCat member libraries worldwide
Matrix algebra for applied economics by
S. R Searle(
Book
)
8 editions published in 2001 in English and held by 199 WorldCat member libraries worldwide
8 editions published in 2001 in English and held by 199 WorldCat member libraries worldwide
Variance components and animal breeding : proceedings of a conference in honor of C.R. Henderson, July 1617, 1979 by L D Van Vleck(
Book
)
6 editions published in 1979 in English and held by 31 WorldCat member libraries worldwide
6 editions published in 1979 in English and held by 31 WorldCat member libraries worldwide
Solutions manual to "Linear models" by
S. R Searle(
Book
)
5 editions published in 1976 in English and held by 20 WorldCat member libraries worldwide
5 editions published in 1976 in English and held by 20 WorldCat member libraries worldwide
Annotated computer output for analyses of unbalanced data : BMDP2V by
S. R Searle(
Book
)
13 editions published between 1978 and 1988 in English and held by 15 WorldCat member libraries worldwide
13 editions published between 1978 and 1988 in English and held by 15 WorldCat member libraries worldwide
Notes on variance component estimation : a detailed account of maximum likelihood and kindred methodology by
S. R Searle(
Book
)
6 editions published in 1979 in English and held by 11 WorldCat member libraries worldwide
6 editions published in 1979 in English and held by 11 WorldCat member libraries worldwide
Matričnaja algebra v ėkonomike by
S. R Searle(
Book
)
3 editions published in 1974 in Russian and held by 7 WorldCat member libraries worldwide
3 editions published in 1974 in Russian and held by 7 WorldCat member libraries worldwide
Proceedings of the conference in honor of Shayle R. Searle : August 910, 1996, Biometrics Unit, Cornell University by Conference in Honor of Shayle R. Searle(
Book
)
3 editions published in 1998 in English and held by 7 WorldCat member libraries worldwide
3 editions published in 1998 in English and held by 7 WorldCat member libraries worldwide
Annotated computer output for covariance (ACO: COV  SAS) by
S. R Searle(
Book
)
3 editions published in 1982 in English and held by 5 WorldCat member libraries worldwide
3 editions published in 1982 in English and held by 5 WorldCat member libraries worldwide
Linear models for somecellsempty data : the cell means formulation, a consultant's best friend by
S. R Searle(
Book
)
2 editions published in 1985 in German and English and held by 5 WorldCat member libraries worldwide
2 editions published in 1985 in German and English and held by 5 WorldCat member libraries worldwide
Cell means formulations of mixed models by
S. R Searle(
Book
)
1 edition published in 1985 in English and held by 5 WorldCat member libraries worldwide
1 edition published in 1985 in English and held by 5 WorldCat member libraries worldwide
Some new results concerning estimation and prediction in mixed models by
S. R Searle(
Book
)
1 edition published in 1985 in English and held by 5 WorldCat member libraries worldwide
1 edition published in 1985 in English and held by 5 WorldCat member libraries worldwide
On a matrix identity useful in variance component estimation by
George Casella(
Book
)
1 edition published in 1985 in German and held by 4 WorldCat member libraries worldwide
1 edition published in 1985 in German and held by 4 WorldCat member libraries worldwide
A Mathematical supplement to C.R. Henderson's book Applications of linear models in animal breeding by
S. R Searle(
Book
)
3 editions published between 1997 and 1998 in English and held by 4 WorldCat member libraries worldwide
3 editions published between 1997 and 1998 in English and held by 4 WorldCat member libraries worldwide
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Audience Level
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Related Identities
 McCulloch, Charles E. Author
 Casella, George Author
 Hausman, Warren H. Other
 Gruber, Marvin H. J. Author
 Neuhaus, John M.
 Willett, Lois Schertz
 Khuri, André I. 1940 Author
 Cornell University Biometrics Unit Other
 Van Vleck, L. Dale (Lloyd Dale) 1933 Editor
 Henderson, C. R. (Charles R.) Author
Useful Links
Associated Subjects
Analysis of variance Analysis of varianceComputer programs Biomathematics Biometry BreedingStatistical methods Economics, Mathematical EconomicsEconometric models Estimation theory Experimental design Henderson, C. R.(Charles R.) Linear models (Statistics) LivestockBreedingStatistical methods Mathematical statistics Mathematical statisticsComputer programs Mathematics Matrices Medical statisticsComputer programs Multivariate analysis Multivariate analysisComputer programs SPSS/PC SPSS (Computer file) Statistical hypothesis testing Statistics StatisticsComputer programs StatisticsData processing
Covers
Alternative Names
S. R. Searle
Searle, S. R.
Searle, S.R. 1928
Searle, S. R. 19282013
Searle, S. R. (Shayle R.)
Searle, Shayle R.
Searle, Shayle R. 1928
Searle, Shayle R. 19282013
Searle, Shayle R. (Shayle Robert), 1928
Searle, Shayle Robert.
Searle, Shayle Robert 1928
Searle, Shayle Robert 19282013
Shayle R. Searle matemático neozelandés
Shayle R. Searle mathématicien néozélandais
Shayle R. Searle wiskundige uit NieuwZeeland (19282013)
Sirl, S.
Sirl', S. 1928
Sirl', S. 19282013
시얼, S. R. 19282013
시얼, 쉐일 R. 19282013
시얼, 쉐일 로버트 19282013
시얼리, S. R. 19282013
시얼리, 셜리 R. 19282013
시얼리, 셜리 로버트 19282013
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