{"product_id":"9781032118130-statistical-methods-for-handling-incompl","title":"Statistical Methods for Handling Incomplete Data","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\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. This book covers the most up-to-date statistical theories and computational methods for analyzing incomplete data.\u003c\/p\u003e\n\u003cbr\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\n\u003cp\u003eFeatures\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eUses the mean score equation as a building block for developing the theory for missing data analysis \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eProvides comprehensive coverage of computational techniques for missing data analysis \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003ePresents a rigorous treatment of imputation techniques, including multiple imputation fractional imputation \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eExplores the most recent advances of the propensity score method and estimation techniques for nonignorable missing data \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eDescribes a survey sampling application \u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eUpdated with a new chapter on Data Integration\u003c\/li\u003e\n\u003cli\u003e\n\u003cp\u003e \u003c\/p\u003e \u003c\/li\u003e\n\u003cli\u003eNow includes a chapter on Advanced Topics, including kernel ridge regression imputation and neural network model imputation \u003c\/li\u003e\n\u003c\/ul\u003e\n\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\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":41513874260065,"sku":"9781032118130","price":59.72,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_29639979.jpg?v=1760339827","url":"https:\/\/www.rarewaves.com\/products\/9781032118130-statistical-methods-for-handling-incompl","provider":"Rarewaves.com","version":"1.0","type":"link"}