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Robustness of Statistical Methods and Nonparametric Statistics

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Release : 2012-12-06
Genre : Mathematics
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Book Rating : 281/5 ( reviews)

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Book Synopsis Robustness of Statistical Methods and Nonparametric Statistics by : Dieter Rasch

Download or read book Robustness of Statistical Methods and Nonparametric Statistics written by Dieter Rasch. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains most of the invited and contributed papers presented at the Conference on Robustness of Statistical Methods and Nonparametric Statistics held in the castle oj'Schwerin, Mai 29 - June 4 1983. This conference was organized by the Mathematical Society of the GDR in cooperation with the Society of Physical and Mathematical Biology of the GDR, the GDR-Region of the International Biometric Society and the Academy of Agricultural Sciences of the GDR. All papers included were thoroughly reviewed by scientist listed under the heading "Editorial Collabora tories·'. Some contributions, we are sorry to report, were not recommended for publi cation by the rf'vif'wers and do not appear in these proceedings. The editors thank the reviewers for their valuable comments and suggestions. The conference was organizf'd bv a Programme Committee, its chairman was Prof. Dr. Dieter Rasch (Research Centre of Animal Production, Dummerstorf-Rostock). The members of the Programme Committee were Prof. Dr., Johannes Adam (Martin-Luther-University Halle) Prof. Dr. Heinz Ahrens (Academy of Sciences of the GDR, Berlin) Doz. Dr. Jana Jureckova (Charles University Praha) Prof. Dr. Moti Lal Tiku (McMaster University, Hamilton, Ontario) The aim of the conference was to discuss several aspects of robustness but mainly to present new results regarding the robustness of classical statistical methods especially tests, confidence estimations, and selection procedures, and to compare their perfor mance with nonparametric procedures. Robustness in this sens~ is understood as intensivity against. violation of the normal assumption.

Conference on Robustness of Statistical Methods and Nonparametric Statistics

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Author :
Release : 1983
Genre :
Kind : eBook
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Book Synopsis Conference on Robustness of Statistical Methods and Nonparametric Statistics by :

Download or read book Conference on Robustness of Statistical Methods and Nonparametric Statistics written by . This book was released on 1983. Available in PDF, EPUB and Kindle. Book excerpt:

Conference on Robustness of Statistical Methods and Nonparametric Statistics

Download Conference on Robustness of Statistical Methods and Nonparametric Statistics PDF Online Free

Author :
Release : 1983
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Conference on Robustness of Statistical Methods and Nonparametric Statistics by :

Download or read book Conference on Robustness of Statistical Methods and Nonparametric Statistics written by . This book was released on 1983. Available in PDF, EPUB and Kindle. Book excerpt:

Robustness of Statistical Methods and Nonparametric Statistics

Download Robustness of Statistical Methods and Nonparametric Statistics PDF Online Free

Author :
Release : 1984
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Robustness of Statistical Methods and Nonparametric Statistics by :

Download or read book Robustness of Statistical Methods and Nonparametric Statistics written by . This book was released on 1984. Available in PDF, EPUB and Kindle. Book excerpt:

Applied Statistics

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Release : 2019-10-07
Genre : Mathematics
Kind : eBook
Book Rating : 528/5 ( reviews)

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Book Synopsis Applied Statistics by : Dieter Rasch

Download or read book Applied Statistics written by Dieter Rasch. This book was released on 2019-10-07. Available in PDF, EPUB and Kindle. Book excerpt: Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background—taking the lessons learned from there to another level with this book’s addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. Offers a practical over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

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