{"product_id":"9781461389163","title":"Springer Texts in Statistics: Statistical Inference","description":"\u003ch1\u003eSpringer Texts in Statistics: Statistical Inference\u003c\/h1\u003e \u003ch2\u003eNguyen, Hung T.; Rogers, Gerald S.\u003c\/h2\u003e \u003cp\u003eThis is a text (divided into two volumes) for a two semester course in Mathematical Statistics at the Senior\/Graduate level. The two main pedagogical aspects in these Volumes are: (i) the material is designed in lessons (each for a 50 minute class) with complementary exercises and home work. (ii) although the material is traditional, great care is exerted upon self-contained, rigorous and complete presentations. An elementary introduction to characteristic functions and probability measures and intergration, but not general measure theory in Volume I, allows a complete proof of some central limit theorems and a rigorous treatment of asymptotic of statistical inference. But students need to be familiar only with such things as Jacobians and eigenvalues of matrices. Volume II: Statistical Inference is designed for the second semester and contains a rigorous introduction to Mathematical Statistics, from random samples to asymptotic theory of statistical inference.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2011-10-21\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9781461389163\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4613-8914-9\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 422\u003c\/p\u003e ","brand":"Springer New York","offers":[{"title":"Default Title","offer_id":45578467410060,"sku":"9781461389163","price":49.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781461389163.jpg?v=1775732334","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781461389163","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}