{"title":"Robert J. Serfling","description":"\u003cp\u003eExplore the insightful works of \u003cem\u003eRobert J. Serfling\u003c\/em\u003e, a distinguished author renowned for his contributions to the field of mathematical statistics. Ideal for readers with a keen interest in Science \u0026amp; Nature, Serfling's writings delve into the complexities of statistical theory and approximation.\u003c\/p\u003e\n\n\u003cp\u003eOne of the standout works in this collection is \u003cstrong\u003eApproximation Theorems of Mathematical Statistics\u003c\/strong\u003e, a book that provides an in-depth examination of approximation methods vital for understanding statistical principles. Serfling's clear and methodical approach allows both professionals and enthusiasts to grasp intricate statistical concepts with ease.\u003c\/p\u003e\n\n\u003cp\u003eWhether you are a student, educator, or a statistics aficionado, Robert J. Serfling's books offer invaluable insights and foundational knowledge that will enhance your understanding of mathematical statistics. Discover this collection today to further your knowledge in this ever-evolving field.\u003c\/p\u003e","products":[{"product_id":"approximation-theorems-of-mathematical-statistics-by-robert-j-serfling-9780471219279","title":"Approximation Theorems of Mathematical Statistics","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cem\u003eApproximation Theorems of Mathematical Statistics\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cp\u003eThis convenient paperback edition makes a seminal text in statistics accessible to a new generation of students and practitioners. \u003cem\u003eApproximation Theorems of Mathematical Statistics\u003c\/em\u003e covers a broad range of limit theorems useful in mathematical statistics, along with methods of proof and techniques of application. The manipulation of \"probability\" theorems to obtain \"statistical\" theorems is emphasized. Besides a knowledge of these basic statistical theorems, this lucid introduction to the subject imparts an appreciation of the instrumental role of probability theory.\u003c\/p\u003e\n\n\u003cp\u003eThe book makes accessible to students and practising professionals in statistics, general mathematics, operations research, and engineering the essentials of:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eThe tools and foundations that are basic to asymptotic theory in statistics.\u003c\/li\u003e\n    \u003cli\u003eThe asymptotics of statistics computed from a sample, including transformations of vectors of more basic statistics, with emphasis on asymptotic distribution theory and strong convergence.\u003c\/li\u003e\n    \u003cli\u003eImportant special classes of statistics, such as maximum likelihood estimates and other asymptotic efficient procedures; W. Hoeffding's U-statistics and R. von Mises's \"differentiable statistical functions\".\u003c\/li\u003e\n    \u003cli\u003eStatistics obtained as solutions of equations (\"M-estimates\"), linear functions of order statistics (\"L-statistics\"), and rank statistics (\"R-statistics\").\u003c\/li\u003e\n    \u003cli\u003eUse of influence curves.\u003c\/li\u003e\n    \u003cli\u003eApproaches toward asymptotic relative efficiency of statistical test procedures.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46853979439340,"sku":"9780471219279","price":346.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/20957343482355.jpg?v=1759229362"}],"url":"https:\/\/bookhero.live\/collections\/robert-j-serfling.oembed","provider":"Book Hero","version":"1.0","type":"link"}