{"product_id":"statistical-inference-1","title":"Statistical Inference","description":"\u003cp data-start=\"51\" data-end=\"327\"\u003e\u003cstrong data-start=\"51\" data-end=\"65\"\u003eBook Title\u003c\/strong\u003e: \u003cem data-start=\"67\" data-end=\"121\"\u003eStatistical Inference: The Minimum Distance Approach\u003c\/em\u003e\u003cbr data-start=\"121\" data-end=\"124\"\u003e\u003cstrong data-start=\"124\" data-end=\"134\"\u003eAuthor\u003c\/strong\u003e: BASU\u003cbr data-start=\"140\" data-end=\"143\"\u003e\u003cstrong data-start=\"143\" data-end=\"152\"\u003eBrand\u003c\/strong\u003e: CRC Press\u003cbr data-start=\"163\" data-end=\"166\"\u003e\u003cstrong data-start=\"166\" data-end=\"177\"\u003eEdition\u003c\/strong\u003e: First Edition\u003cbr data-start=\"192\" data-end=\"195\"\u003e\u003cstrong data-start=\"195\" data-end=\"206\"\u003eBinding\u003c\/strong\u003e: Paperback\u003cbr data-start=\"217\" data-end=\"220\"\u003e\u003cstrong data-start=\"220\" data-end=\"239\"\u003eNumber Of Pages\u003c\/strong\u003e: 432\u003cbr data-start=\"244\" data-end=\"247\"\u003e\u003cstrong data-start=\"247\" data-end=\"263\"\u003eRelease Date\u003c\/strong\u003e: 19-07-2011\u003cbr data-start=\"275\" data-end=\"278\"\u003e\u003cstrong data-start=\"278\" data-end=\"285\"\u003eEAN\u003c\/strong\u003e: 9780367487690\u003cbr data-start=\"300\" data-end=\"303\"\u003e\u003cstrong data-start=\"303\" data-end=\"316\"\u003eLanguages\u003c\/strong\u003e: English\u003c\/p\u003e\n\u003cp data-start=\"329\" data-end=\"776\"\u003e\u003cstrong data-start=\"329\" data-end=\"340\"\u003eDetails\u003c\/strong\u003e:\u003cbr data-start=\"341\" data-end=\"344\"\u003e\u003cem data-start=\"344\" data-end=\"398\"\u003eStatistical Inference: The Minimum Distance Approach\u003c\/em\u003e explores the concept of estimation using minimum distance methods, providing a comprehensive overview of developments in density-based minimum distance inference for independently and identically distributed data. This book fills a significant gap in statistical resources, offering insights into both discrete and continuous models, and discussing their robustness properties.\u003c\/p\u003e\n\u003cp data-start=\"778\" data-end=\"797\"\u003eKey topics include:\u003c\/p\u003e\n\u003cul data-start=\"798\" data-end=\"1273\"\u003e\n\u003cli data-start=\"798\" data-end=\"874\"\u003e\n\u003cp data-start=\"800\" data-end=\"874\"\u003eEstimation and hypothesis testing for both discrete and continuous models.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"875\" data-end=\"955\"\u003e\n\u003cp data-start=\"877\" data-end=\"955\"\u003eThe robustness properties and structural geometry of minimum distance methods.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"956\" data-end=\"1056\"\u003e\n\u003cp data-start=\"958\" data-end=\"1056\"\u003eAddressing the inlier problem, weighted likelihood estimation, and solutions to common challenges.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003cli data-start=\"1057\" data-end=\"1273\"\u003e\n\u003cp data-start=\"1059\" data-end=\"1273\"\u003eExtension of the minimum distance approach to interdisciplinary fields such as neural networks, fuzzy sets, and specialized problems like semi-parametric models, mixture models, grouped data, and survival analysis.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1275\" data-end=\"1527\"\u003eThis thorough resource is ideal for researchers and scientists, offering a deep understanding of statistical distances, graphical descriptions of robustness, personalized and combined distances, as well as computational issues in statistical inference.\u003c\/p\u003e","brand":"CRC","offers":[{"title":"Default Title","offer_id":49883743682864,"sku":"Sarat_9780367487690","price":1696.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0690\/9968\/4144\/files\/crc-book-default-title-statistical-inference-41100262670640.jpg?v=1775962252","url":"https:\/\/www.retailmaharaj.com\/products\/statistical-inference-1","provider":"Retail Maharaj","version":"1.0","type":"link"}