{"product_id":"statistics-a-concise-mathematical-introduction-for-students-scientists-and-engineers-paperback","title":"Statistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers - 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\u003eDavid W. Scott\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistic: A Concise Mathematical Introduction for Students and Scientists \u003c\/i\u003eoffers a one academic term text that prepares the student to broaden their skills in statistics, probability and inference, prior to selecting their follow-on courses in their chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. \u003c\/p\u003e \u003cp\u003eThe book places focus early on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments and probabilities are discussed throughout the book in a natural way. Classical probability, random variables, and inference are discussed, as well as material on understanding data and topics of special interest.\u003cbr\u003e \u003cbr\u003e Topics discussed include: \u003c\/p\u003e \u003cp\u003e- Classical equally likely outcomes\u003c\/p\u003e \u003cp\u003e- Variety of models of discrete and continuous probability laws\u003c\/p\u003e \u003cp\u003e- Likelihood function and ratio\u003c\/p\u003e \u003cp\u003e- Inference\u003c\/p\u003e \u003cp\u003e- Bayesian statistics\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e \u003cp\u003eWith the growth in the volume of data generated in many disciplines that is enabling the growth in data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Matematica and JMP is useful, however there is an accompanying website including sample R and Mathematica code to help instructors and students.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eStatistics: A Concise Mathematical Introduction for Students, Scientists, and Engineers\u003c\/i\u003e offers a one academic term text that prepares the student in statistics, probability and inference, prior to selecting follow-on courses in his\/her chosen fields, whether it be engineering, computer science, programming, data sciences, business or economics. \u003c\/p\u003e\u003cp\u003eThe book places early focus on continuous measurements, as well as discrete random variables. By invoking simple and intuitive models and geometric probability, discrete and continuous experiments, classical probability, and inference are discussed throughout the book, as well as material on understanding data and topics of special interest. \u003c\/p\u003e\u003cp\u003eTopics covered in the book include: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eClassical, equally likely outcomes and counting methods\u003c\/li\u003e \u003cli\u003eVariety of models of discrete and continuous probability laws\u003c\/li\u003e \u003cli\u003eLikelihood function, ratio, and maximum likelihood\u003c\/li\u003e \u003cli\u003eInference, testing, and confidence intervals\u003c\/li\u003e \u003cli\u003eBayesian statistics, regression, and simulation\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eDue to the rapid growth of data science, companies now demand statistically literate scientists and this textbook is the answer, suited for undergraduates studying science or engineering, be it computer science, economics, life sciences, environmental, business, amongst many others. Basic knowledge of bivariate calculus, R language, Mathematica and JMP is useful; however, there is an accompanying online resource that includes sample R and Mathematica code as well as homework and exam problems to help instructors and students.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDAVID W. SCOTT\u003c\/b\u003e is the Noah Harding Professor of Statistics at Rice University in Houston, Texas. He is a Fellow of the ASA, IMS, AAAS, an elected member of the ISI and received the 2004 Army Wilks Award and the 2008 ASA Founder's Award. He was formerly the Editor of the \u003ci\u003eJournal of Computational and Graphical Statistics\u003c\/i\u003e and currently serves as Co-Editor of \u003ci\u003eWiley Interdisciplinary Reviews: Computational Statistics.\u003c\/i\u003e He is also the author of \u003ci\u003eMultivariate Density Estimation: Theory, Practice, and Visualization.\u003c\/i\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 180\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.4 x 9.5 x 6.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e July 13, 2020\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337088319737,"sku":"9781119675846","price":89.1,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/csPuG2e0Bn9781119675846.webp?v=1769674909","url":"https:\/\/bookscloud.io\/products\/statistics-a-concise-mathematical-introduction-for-students-scientists-and-engineers-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}