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[null,"1.","Record Nr.",null,"UNISA990000146290203316"]
[null,null,"Autore",null,"Weber, Edward C."]
[null,null,"Titolo",null,"Developing with Delphi : object-oriented techniques / Edward C. Weber, J. Neal Ford, Christopher R. Weber"]
[null,null,"Pubbl/distr/stampa",null,"Upper Saddle River : Prentice Hall, copyr. 1996"]
[null,null,"ISBN",null,"0-13-378118-6"]
[null,null,"Disciplina",null,"005.265"]
[null,null,"Collocazione",null,"005.265 WEB"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","contiene un dischetto"]
[null,"2.","Record Nr.",null,"UNINA9910697390703321"]
[null,null,"Autore",null,"Kochenderfer J. N"]
[null,null,"Titolo",null,"Utility of wire cages, tree shelters, and repellants to minimize herbivory to oak by white-tailed deer [[electronic resource] /] / James N. Kochenderfer, W. Mark Ford"]
[null,null,"Pubbl/distr/stampa",null,"Newtown Square, PA : , : U.S. Dept. of Agriculture, Forest Service, Northern Research Station, , [2008]"]
[null,null,"Descrizione fisica",null,"8 pages : digital, PDF file"]
[null,null,"Collana",null,"Research paper NRS ; ; 5"]
[null,null,"Soggetti",null,"White-tailed deer - Control - West Virginia - Monongahela National Forest"]
[{"$nulls":4},"Oak - Diseases and pests - Control - West Virginia - Monongahela National Forest"]
[{"$nulls":4},"Oak - Seedlings - Protection - West Virginia - Monongahela National Forest"]
[{"$nulls":4},"Oak - Seedlings - Effect of browsing on - West Virginia - Monongahela National Forest"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Title from title screen (viewed on Oct. 31, 2008)."]
[{"$nulls":4},"\"May 2008.\""]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages 6-8)."]
[null,"3.","Record Nr.",null,"UNINA9910993944503321"]
[null,null,"Autore",null,"Maruyama Yuzo"]
[null,null,"Titolo",null,"Stein Estimation / / by Yuzo Maruyama, Tatsuya Kubokawa, William E. Strawderman"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9789819960774"]
[{"$nulls":4},"9819960770"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (0 pages)"]
[null,null,"Collana",null,"JSS Research Series in Statistics, , 2364-0065"]
[null,null,"Disciplina",null,"519.544"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Applied Statistics"]
[{"$nulls":4},"Statistical Theory and Methods"]
[{"$nulls":4},"Bayesian Inference"]
[{"$nulls":4},"Bayesian Network"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"1. Decision Theory Preliminaries -- 2. Minimaxity and Improvement on the James-Stein estimator -- 3. Admissibility."]
[null,null,null,"Sommario/riassunto","This book provides a self-contained introduction of Stein/shrinkage estimation for the mean vector of a multivariate normal distribution. The book begins with a brief discussion of basic notions and results from decision theory such as admissibility, minimaxity, and (generalized) Bayes estimation. It also presents Stein's unbiased risk estimator and the James-Stein estimator in the first chapter. In the following chapters, the authors consider estimation of the mean vector of a multivariate normal distribution in the known and unknown scale case when the covariance matrix is a multiple of the identity matrix and the loss is scaled squared error. The focus is on admissibility, inadmissibility, and minimaxity of (generalized) Bayes estimators, where particular attention is paid to the class of (generalized) Bayes estimators with respect to an extended Strawderman-type prior. For almost all results of this book, the authors present a self-contained proof. The book is helpful for researchers and graduate students in various fields requiring data analysis skills as well as in mathematical statistics."]