{"product_id":"9780470023532","title":"Statistical Matching Theory and Practice","description":"\u003ch3\u003eWiley Series in Survey Methodology\u003c\/h3\u003e\u003ch1\u003eStatistical Matching\u003c\/h1\u003e\u003ch2\u003eTheory and Practice\u003c\/h2\u003e\u003ch3\u003eMarcello D'Orazio | Marco Di Zio | Mauro Scanu\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Probability \u0026amp; Statistics \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eThere is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. \u003ci\u003eStatistical Matching: Theory and Practice\u003c\/i\u003e introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications.  \u003cul\u003e \u003cli\u003ePresents a unified framework for both theoretical and practical aspects of statistical matching.\u003c\/li\u003e \u003cli\u003eProvides a detailed description covering all the steps needed to perform statistical matching.\u003c\/li\u003e \u003cli\u003eContains a critical overview of the available statistical matching methods.\u003c\/li\u003e \u003cli\u003eDiscusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty.\u003c\/li\u003e \u003cli\u003eIncludes numerous examples and applications, enabling the reader to apply the methods in their own work.\u003c\/li\u003e \u003cli\u003eFeatures an appendix detailing algorithms written in the R language.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eStatistical Matching: Theory and Practice\u003c\/i\u003e presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e  \u003cp\u003eMarcello D'Orazio is the author of Statistical Matching: Theory and Practice, published by Wiley. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e19 May 2006\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9780470023532\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e272\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e18.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44311123918988,"sku":"9780470023532","price":125.06,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780470023532_1791bdfa-372f-4392-8be3-1fec2523b9f9.jpg?v=1780182915","url":"https:\/\/lateknightbooks.com\/products\/9780470023532","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}