{"product_id":"probability-distributions-with-truncated-log-and-bivariate","title":"Probability Distributions: With Truncated, Log and Bivariate","description":"\u003cp\u003eIn this review of Probability Distributions: With Truncated, Log and Bivariate Extensions, the bottom line is clear: this compact reference is for researchers and applied statisticians who need worked examples and tables for less common distributions. The author delivers a focused, practical guide that fills gaps left by standard texts, especially for \u003cstrong\u003etruncated normal\u003c\/strong\u003e and \u003cstrong\u003ebivariate lognormal\u003c\/strong\u003e cases. Readers seeking quick access to table values and application examples will find the volume immediately useful; it is not, however, a beginner's textbook on probability theory.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eConcise overview:\u003c\/strong\u003e Summarizes commonly used continuous and discrete distributions so readers get a quick refresher before diving into the specialized material.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUncommon distributions explained:\u003c\/strong\u003e Covers discrete normal, left- and right-partial, and other less familiar forms with examples that show practical use.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTruncated normal detail:\u003c\/strong\u003e Describes left-truncated and right-truncated normal shapes and behavior, enabling applied users to model data that deviate from symmetry.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBivariate extensions:\u003c\/strong\u003e Presents the bivariate normal and bivariate lognormal with examples useful for multivariate modeling and sample analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTable values with examples:\u003c\/strong\u003e Includes tables and worked examples so researchers can apply distributions directly to sample data without deriving values from scratch.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is best for practicing statisticians, engineers, and applied researchers who need quick, practical guidance on distributions that are not well covered elsewhere. Graduate students working on applied projects will also find the worked examples and tables handy when they need usable numbers rather than lengthy derivations.\u003c\/p\u003e\n\u003cp\u003eThose looking for an introductory or theoretical textbook on probability foundations should look elsewhere; this volume assumes familiarity with core distribution concepts and emphasizes application over pedagogical exposition.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eFocuses on less common distributions, filling a niche left by standard references.\u003c\/li\u003e\n\u003cli\u003eProvides table values and step-by-step examples that speed up real data work.\u003c\/li\u003e\n\u003cli\u003eIncludes both univariate and bivariate treatment, aiding multivariate analysis tasks.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a beginner's primer; readers need prior familiarity with basic probability concepts.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eProbability Distributions: With Truncated, Log and Bivariate Extensions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthor\u003c\/td\u003e\n\u003ctd\u003eNick T. Thomopoulos\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eScope\u003c\/td\u003e\n\u003ctd\u003eContinuous, discrete, truncated, lognormal, and bivariate distributions\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIncludes\u003c\/td\u003e\n\u003ctd\u003eWorked examples and table values for applied use\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTarget audience\u003c\/td\u003e\n\u003ctd\u003eResearchers, applied statisticians, graduate students\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpecial topics\u003c\/td\u003e\n\u003ctd\u003eDiscrete normal, left\/right-partial, truncated normals, bivariate lognormal\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eProbability Distributions: With Truncated, Log and Bivariate Extensions is a focused, practical resource for applied users who need ready access to table values and worked examples for uncommon distributions. It represents good value for researchers who model truncated or bivariate data and prefer concrete application over extended theory.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes this book include numerical tables?\u003c\/strong\u003e\u003cbr\u003eYes, the book provides table values accompanied by examples so readers can apply the distributions to sample data.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs it suitable for beginners?\u003c\/strong\u003e\u003cbr\u003eNot really; the book assumes familiarity with basic distribution concepts and is aimed at applied users and researchers.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAre bivariate distributions covered?\u003c\/strong\u003e\u003cbr\u003eYes, both the bivariate normal and bivariate lognormal are described with practical examples for multivariate analysis.\u003c\/p\u003e","brand":"Nick T. 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