Multiple Decision Procedures For Ranking Means
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Author | : Shanti S. Gupta |
Publisher | : SIAM |
Total Pages | : 592 |
Release | : 2002-01-01 |
Genre | : Mathematics |
ISBN | : 0898715326 |
An encyclopaedic coverage of the literature in the area of ranking and selection procedures. It also deals with the estimation of unknown ordered parameters. This book can serve as a text for a graduate topics course in ranking and selection. It is also a valuable reference for researchers and practitioners.
Author | : R. E. Bechhoefer |
Publisher | : |
Total Pages | : 10 |
Release | : 1955 |
Genre | : Population |
ISBN | : |
Author | : R. E. Bechhoefer |
Publisher | : |
Total Pages | : 40 |
Release | : 1955 |
Genre | : Decision making |
ISBN | : |
Author | : R. E. Bechhoefer |
Publisher | : |
Total Pages | : 7 |
Release | : 1955 |
Genre | : Population |
ISBN | : |
Author | : R. E. Bechhoefer |
Publisher | : |
Total Pages | : 19 |
Release | : 1955 |
Genre | : Decision making |
ISBN | : |
Author | : R. E. Bechhoefer |
Publisher | : |
Total Pages | : 46 |
Release | : 1956 |
Genre | : Experimental design |
ISBN | : |
Author | : Santner |
Publisher | : CRC Press |
Total Pages | : 336 |
Release | : 1984-07-30 |
Genre | : Technology & Engineering |
ISBN | : 9780824772741 |
Multiple comparisons; Selection and ranking; Estimation and testing.
Author | : Brian L. Joiner |
Publisher | : |
Total Pages | : 512 |
Release | : 1970 |
Genre | : Annals of mathematical statistics |
ISBN | : |
All articles, notes, queries, corrigenda, and obituaries appearing in the following journals during the indicated years are indexed: Annals of mathematical statistics, 1961-1969; Biometrics, 1965-1969#3; Biometrics, 1951-1969; Journal of the American Statistical Association, 1956-1969; Journal of the Royal Statistical Society, Series B, 1954-1969,#2; South African statistical journal, 1967-1969,#2; Technometrics, 1959-1969.--p.iv.
Author | : S. S. Gupta |
Publisher | : Springer Science & Business Media |
Total Pages | : 113 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 1461259258 |
The theory and practice of decision making involves infinite or finite number of actions. The decision rules with a finite number of elements in the action space are the so-called multiple decision procedures. Several approaches to problems of multi ple decisions have been developed; in particular, the last decade has witnessed a phenomenal growth of this field. An important aspect of the recent contributions is the attempt by several authors to formalize these problems more in the framework of general decision theory. In this work, we have applied general decision theory to develop some modified principles which are reasonable for problems in this field. Our comments and contributions have been written in a positive spirt and, hopefully, these will an impact on the future direction of research in this field. Using the various viewpoints and frameworks, we have emphasized recent developments in the theory of selection and ranking ~Ihich, in our opinion, provides one of the main tools in this field. The growth of the theory of selection and ranking has kept apace with great vigor as is evidenced by the publication of two recent books, one by Gibbons, Olkin and Sobel (1977), and the other by Gupta and Panchapakesan (1979). An earlier monograph by Bechhofer, Kiefer and Sobel (1968) had also provided some very interest ing work in this field.
Author | : Dieter Rasch |
Publisher | : John Wiley & Sons |
Total Pages | : 650 |
Release | : 2019-08-14 |
Genre | : Mathematics |
ISBN | : 1119551544 |
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.