{"product_id":"applied-statistics-in-social-sciences-9780367642044","title":"Applied Statistics in Social Sciences","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book provides a comprehensive overview of discrete and continuous univariate and multivariate distributions with applications in economics, finance, and other fields. It covers a wide range of distributions, including actuarial statistics, stochastic frontier analysis, duration models, population geography, income and wealth distribution, physical economics, and tourism. Each distribution is discussed in detail, with descriptions of possible applications and a detailed analysis of probabilistic families. Simulation methods are provided for most models, and an extensive updated bibliography is included. The book is intended for researchers, professionals, and graduate students in computer science, engineering, bioinformatics, statistics, and mathematics. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 178 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 17 November 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThis comprehensive work delves into diverse univariate and multivariate distributions, encompassing both discrete and continuous forms, with applications in economics, finance, and various other fields. It provides detailed descriptions of these distributions, along with their potential uses in real-world scenarios. The book is organized into separate chapters, each dedicated to a specific distribution, accompanied by comprehensive explanations of its applications. The authors also offer a thorough analysis of the proposed probabilistic families, exploring their relationships with existing models, statistical properties, strengths, weaknesses, similarities, and differences. Various estimation methods are discussed, along with potential applications and extensions. For most of the presented models, simulation methods are provided to facilitate understanding and practical implementation. Many of the probabilistic models showcased in this book have emerged from extensive research articles authored by the authors and other scholars, primarily based on classical formulations. This volume includes an extensive updated bibliography from journals and books in statistics, mathematics, economics, actuarial sciences, and computer science. This book serves as an invaluable resource for researchers, professionals, and graduate students in computer science, engineering, bioinformatics, statistics, and mathematics. Its concise writing style makes it accessible to a broad audience, making it an essential manual for advancing knowledge in these fields.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 510g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 254 x 178 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367642044\u003c\/p\u003e","brand":"EmilioGomez-Deniz,EnriqueCalderin-Ojeda","offers":[{"title":"Hardback","offer_id":44103855571194,"sku":"9780367642044","price":119.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1669387427737_book.jpg?v=1669751456","url":"https:\/\/shulphink.com\/products\/applied-statistics-in-social-sciences-9780367642044","provider":"Shulph Ink","version":"1.0","type":"link"}