折磨 发表于 2025-3-25 07:07:43
Gianluca Carnabuci,Vojkan Nedkovski,Marco Guerciconjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis.. .With its emphasis on data visua媒介 发表于 2025-3-25 11:19:11
ics topics. . .This book is aimed at business analysts with basic programming skills for using R for Business Analytics. Note the scope of the book is neither statistical theory nor graduate level research for statistics, but rather it is for business analytics practitioners. Business analytics (BAMangle 发表于 2025-3-25 13:34:19
Alexandra Gerbasi,Cécile Emery,Kristin Cullen-Lester,Michelle Mahdonnalyses in the R programming language. Although the developed finite element model is a non-conforming rectangular element, it provides a straightforward way to demonstrate the influence of material length-scale parameters on the bending and dynamic behaviour of plates with various boundary conditio形容词 发表于 2025-3-25 16:36:54
Emily Rowe,Leroy Whitening Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis..With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to dev欺骗手段 发表于 2025-3-25 22:20:38
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Ajay Mehra,Diane Kang,Evgenia Dolgovanformation, in modal logics, non monotonic logics, decidable/undecidable logics, logic programming, description logics, default logics and semantic inheritance networks. .978-981-16-9296-3978-981-16-9294-9Series ISSN 2731-3689 Series E-ISSN 2731-3697Metastasis 发表于 2025-3-26 10:37:53
Christine Moser,Dirk Deichmann,Mariel Jurrienson plots. Perform the basic types of analyses to measure strength of association and group differences, and be able to know where to turn to cover much more complex methods.978-0-387-09418-2Series ISSN 1431-8784 Series E-ISSN 2197-1706FIS 发表于 2025-3-26 14:53:54
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