01074nam0 22002651i 450 UON0010046620231205102550.47420020107d1966 |0itac50 baengUS|||| 1||||Roman Voting AssembliesFrom the Hannibalic War to the Dictatorship of CaesarBy Lily Ross TaylorAnn Arbor (Michigan) : The University of Michigan Press1966xix175 p., tav. ; 29 cmRiproduzione in fotocopie001UON000876982001 Jerome Lectures8USAnn Arbor (Michigan)UONL000025TAYLORLily RossUONV065129186627University of MichiganUONV245968650ITSOL20240220RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00100466SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI C 229 SI MC 13443 5 Roman voting assemblies234753UNIOR03393oam 2200385z- 450 991083050380332120230912132618.01-119-23775-0(CKB)4330000000009494(MiAaPQ)EBC7220654(EXLCZ)99433000000000949420230403cuuuuuuuu -u- -engDesign of experiments for reliability achievement /Steven E. Rigdon, Rong Pan, Douglas C. Montgomery, Laura June FreemanHoboken, NJ : $b Wiley, $c 20221 online resource (xv, 389 pages) : $b illustrations1-119-23769-6 Print version $a Rigdon, Steven E., 1955- $t Design of experiments for reliability achievement. $d Hoboken, NJ : Wiley, 2022 $z 9781119237693 $w (DLC) 2021062810 $w (OCoLC)1319245401 Includes bibliographical references and index.Reliability concepts -- Lifetime distributions -- Inference for parameters of life distributions -- Fundamentals of experimental design -- Further principles of experimental design -- Parametric regression models -- Semiparametric regression models -- Design of single testing condition reliability experiments -- Design of multi factor and multi level reliability experiments.Experimental design has been used extensively and successfully to aid in quality achievement; however, there have been fewer successful applications in reliability. Experiments in reliability are inherently different from other industrial experiments since lifetimes usually do not follow a normal distribution, which is often the assumption in experimental design. Written by internationally known experts in the fields of experimental design methodology and reliability data analysis, this book illustrates how experimental design and tests can improve the reliability of the outcome. Focusing on reliability applications and methods, this book describes and illustrates methods for designing experiments and analyzes the results when the response is a lifetime. This book is organized into four main parts: Part One begins with an introduction to reliability, lifetime distributions, and inference for parameter of lifetime distributions; Part Two focuses on design of experiments, optimal design, and robust design; Part Three features coverage of lifetime regression, parametric regression models, the Cox Proportional Hazard Model, and design strategies for reliability achievement; and Part Four addresses accelerated testing, models for acceleration, and design of experiments for accelerated testing. The authors also utilize R, SAS®, and JMP® software throughout as appropriate, and a supplemental website contains the related data sets.Reliability (Engineering)Statistical methodsDistribution (Probability theory)Experimental designReliability (Engineering)Statistical methods.Distribution (Probability theory)Experimental design.Rigdon Steven E., $d 1955-, $e author1720609Pan Rong, $c (Professor of reliability engineering), $e author1720610Montgomery Douglas CFreeman Laura JuneBOOK9910830503803321Design of experiments for reliability achievement4119428UNINA