{"product_id":"statistical-methods-for-handling-incomplete-data-9780367280543","title":"Statistical Methods for Handling Incomplete Data","description":"\u003cp\u003e • Author(s): Jae Kwang Kim\u003cbr\u003e • Publisher: Taylor \u0026amp; Francis\u003cbr\u003e • Publisher Imprint: CRC Press\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eDue to recent theoretical findings and advances in statistical computing, there has been a rapid development of techniques and applications in the area of missing data analysis. \u003cb\u003eStatistical Methods for Handling Incomplete Data\u003c\/b\u003e covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.\u003c\/p\u003e \u003cp\u003e　\u003c\/p\u003e\u003cb\u003e \u003c\/b\u003e\u003cp\u003eFeatures\u003c\/p\u003e \u003cul\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUses the mean score equation as a building block for developing the theory for missing data analysis \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eProvides comprehensive coverage of computational techniques for missing data analysis \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003ePresents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eExplores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eDescribes a survey sampling application \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eUpdated with a new chapter on Data Integration\u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e\n\u003cli\u003eNow includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation \u003c\/li\u003e \u003cp\u003e\u003c\/p\u003e\n\u003c\/ul\u003e \u003cp\u003eThe book is primarily aimed at researchers and graduate students from statistics, and could be used as a reference by applied researchers with a good quantitative background. It includes many real data examples and simulated examples to help readers understand the methodologies.\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e","brand":"Taylor \u0026 Francis","offers":[{"title":"Hardcover","offer_id":45241446760599,"sku":"9780367280543","price":10474.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9780367280543.webp?v=1769228764","url":"https:\/\/atlanticbooks.com\/products\/statistical-methods-for-handling-incomplete-data-9780367280543","provider":"Atlantic Books","version":"1.0","type":"link"}