{"product_id":"statistical-distributions-paperback","title":"Statistical Distributions - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eCatherine Forbes\u003c\/b\u003e (Author), \u003cb\u003eMerran Evans\u003c\/b\u003e (Author), \u003cb\u003eNicholas Hastings\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003eA new edition of the trusted guide on commonly used statistical distributions\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eFully updated to reflect the latest developments on the topic, \u003ci\u003eStatistical Distributions\u003c\/i\u003e, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis.\u003c\/p\u003e \u003cp\u003eFollowing a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the \u003ci\u003eFourth Edition\u003c\/i\u003e features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003eA new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems\u003c\/li\u003e \u003cli\u003eMethods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions\u003c\/li\u003e \u003cli\u003eNew coverage of conditional probability, including conditional expectations and joint and marginal distributions\u003c\/li\u003e \u003cli\u003eCommonly used tables associated with the normal (Gaussian), student-t, F and chi-square distributions\u003c\/li\u003e \u003cli\u003eAdditional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cb\u003eStatistical Distributions\u003c\/b\u003e, Fourth Edition is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eA new edition of the trusted guide on commonly used statistical distributions \u003c\/p\u003e\u003cp\u003eFully updated to reflect the latest developments on the topic, Statistical Distributions, Fourth Edition continues to serve as an authoritative guide on the application of statistical methods to research across various disciplines. The book provides a concise presentation of popular statistical distributions along with the necessary knowledge for their successful use in data modeling and analysis.\u003c\/p\u003e \u003cp\u003eFollowing a basic introduction, forty popular distributions are outlined in individual chapters that are complete with related facts and formulas. Reflecting the latest changes and trends in statistical distribution theory, the \u003ci\u003eFourth Edition\u003c\/i\u003e features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eA new chapter on queuing formulas that discusses standard formulas that often arise from simple queuing systems\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eMethods for extending independent modeling schemes to the dependent case, covering techniques for generating complex distributions from simple distributions\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNew coverage of conditional probability, including conditional expectations and joint and marginal distributions\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eCommonly used tables associated with the normal (Gaussian), student-\u003ci\u003et\u003c\/i\u003e, F and chi-square distributions\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAdditional reviewing methods for the estimation of unknown parameters, such as the method of percentiles, the method of moments, maximum likelihood inference, and Bayesian inference\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eStatistical Distributions, Fourth Edition\u003c\/i\u003e is an excellent supplement for upper-undergraduate and graduate level courses on the topic. It is also a valuable reference for researchers and practitioners in the fields of engineering, economics, operations research, and the social sciences who conduct statistical analyses.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eCATHERINE FORBES, PhD, \u003c\/b\u003e is Senior Lecturer in the Department of Econometrics and Business Statistics at Monash University (Australia). With experience as a statistical consultant for business, manufacturing industries, and social welfare agencies, her research focuses on the areas of Bayesian econometrics, financial modeling, time series analysis, and model selection. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMERRAN EVANS, PhD, \u003c\/b\u003e is Professor and Pro Vice-Chancellor (Planning and Quality) at Monash University. Dr. Evans has over thirty years of academic experience in the fields of statistics and econometrics.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eNICHOLAS HASTINGS, PhD, \u003c\/b\u003e is Director and Principal Consultant in physical asset management at Albany Interactive Pty Ltd. Dr. Hastings has published extensively in the areas of engineering management and asset management.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eBRIAN PEACOCK, PhD, \u003c\/b\u003e is Founder of Brian Peacock Ergonomics (BPE) Pte. Ltd., a Singapore-based firm that offers ergonomics and human factors education, training, and consulting services. He has previously held consulting positions at General Motors Company and the National Space Biomedical Research Institute\/NASA.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 230\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.6 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 21, 2010\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47336806777081,"sku":"9780470390634","price":130.97,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/cVdDNnBoVFA0VmZNcVFtbGJCWGVKdz09.webp?v=1769671265","url":"https:\/\/bookscloud.io\/products\/statistical-distributions-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}