LEADER 03209nam 2200493 450 001 9910831066203321 005 20230106145520.0 010 $a1-119-38526-1 010 $a1-119-38523-7 010 $a1-119-38529-6 035 $a(CKB)4100000000981142 035 $a(MiAaPQ)EBC5216977 035 $a(MiAaPQ)EBC7076125 035 $a(Au-PeEL)EBL7076125 035 $a(CaSebORM)9781119385288 035 $a(PPN)225635151 035 $a(EXLCZ)994100000000981142 100 $a20230106d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aMathematical statistics /$fDieter Rasch, Dieter Schott 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d[2018] 210 4$dİ2018 215 $a1 online resource (839 pages) $cillustrations 300 $aPublication date from resource description page (viewed April 18, 2018). 311 $a1-119-38528-8 320 $aIncludes bibliographical references and index. 330 $aExplores mathematical statistics in its entirety?from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics. 606 $aMathematical statistics 615 0$aMathematical statistics. 676 $a519.5 700 $aRasch$b Dieter$0102778 702 $aSchott$b Dieter$c(Mathematician), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910831066203321 996 $aMathematical statistics$93928288 997 $aUNINA