01163nam a2200265 i 4500991002647079707536141204s2013 us b 001 0 eng d9781421408194b14208714-39ule_instDip. di Studi Umanisticiita623.4Aldrete, Gregory S.298241Reconstructing ancient linen body armor :unraveling the linothorax mystery /Gregory S. Aldrete, Scott Bartell, Alicia AldreteBaltimore, Md. :Johns Hopkins University Press,2013VIII, 279 p. :ill. (col.) ;24 cmContiene riferimenti bibliografici. IndiceArmatureGrecia anticaProgettazione e costruzioneBartell, Scottauthorhttp://id.loc.gov/vocabulary/relators/aut732766Aldrete, Alicia.b1420871407-05-1504-12-14991002647079707536LE007 623 ALD 01.0112007000260975le007pE20.76-l- 00000.i1567218907-05-15Reconstructing ancient linen body armor1443711UNISALENTOle00704-12-14ma -engus 0004481nam 22005175 450 99641827680331620230711175505.03-030-43328-510.1007/978-3-030-43328-4(CKB)4100000011273835(MiAaPQ)EBC6191433(DE-He213)978-3-030-43328-4(PPN)248397575(EXLCZ)99410000001127383520200504d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierStatistical analysis of empirical data[electronic resource] methods for applied sciences /by Scott Pardo1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (278 pages)3-030-43327-7 Chapter 1: Fundamentals -- Chapter 2: Sample Statistics are NOT Parameters -- Chapter 3: Confidence -- Chapter 4: Multiplicity and Multiple Comparisons -- Chapter 5: Power and the Myth of Sample Size Determination -- Chapter 6: Regression and Model Fitting with Collinearity -- Chapter 7: Overparameterization -- Chapter 8: Ignoring Error Control Factors and Experimental Design -- Chapter 9: Generalized Linear Models -- Chapter 10: Mixed Models and Variance Components -- Chapter 11: Models, Models Everywhere...Model Selection -- Chapter 12: Bayesian Analyses -- Chapter 13: The Acceptance Sampling Game -- Chapter 14: Nonparametric Statistics - A Strange Name -- Chapter 15: Autocorrelated Data and Dynamic Systems -- Chapter 16: Multivariate Analysis and Classification -- Chapter 17: Time-to-Event: Survival and Life Testing -- Index.Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for analyses, and they are often challenged to justify these selections. This book is designed for readers with limited background in statistical methodology who seek guidance in defending their statistical decision-making in the worlds of research and practice. It is devoted to helping students and scholars find the information they need to select data analytic methods, and to speak knowledgeably about their statistical research processes. Each chapter opens with a conundrum relating to the selection of an analysis, or to explaining the nature of an analysis. Throughout the chapter, the analysis is described, along with some guidance in justifying the choices of that particular method. Designed to offer statistical knowledge to the non-specialist, this volume can be used in courses on research methods, or for courses on statistical applications to biological, medical, life, social, or physical sciences. It will also be useful to academic and industrial researchers in engineering and in the physical sciences who will benefit from a stronger understanding of how to analyze empirical data. The book is written for those with foundational education in calculus. However, a brief review of fundamental concepts of probability and statistics, together with a primer on some concepts in elementary calculus and matrix algebra, is included. R code and sample datasets are provided.Statistics Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17020Bayesian Inferencehttps://scigraph.springernature.com/ontologies/product-market-codes/S18000Statistics for Life Sciences, Medicine, Health Scienceshttps://scigraph.springernature.com/ontologies/product-market-codes/S17030Statistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Statistics .Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.Bayesian Inference.Statistics for Life Sciences, Medicine, Health Sciences.Statistics for Social Sciences, Humanities, Law.519.5Pardo Scottauthttp://id.loc.gov/vocabulary/relators/aut856379MiAaPQMiAaPQMiAaPQBOOK996418276803316Statistical Analysis of Empirical Data1912502UNISA