{"product_id":"9783032297327","title":"Confidence Intervals for Proportions Analysis of Binary Data with Applications to Survival Analysis","description":"\u003ch3\u003eInternational Series in Operations Research \u0026amp; Management Science\u003c\/h3\u003e\u003ch1\u003eConfidence Intervals for Proportions\u003c\/h1\u003e\u003ch2\u003eAnalysis of Binary Data with Applications to Survival Analysis\u003c\/h2\u003e\u003ch3\u003eLawrence Leemis | Heather Krehbiel | Yuxin Qin | Hayeon Park | Kexin Feng | Xingyu Wang\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eBusiness \u0026amp; Economics \/ Operations Research\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003eThis innovative book explores methodologies for constructing confidence intervals for proportions. It compares existing techniques and introduces new procedures developed by the authors, emphasizing the actual coverage function to assess their effectiveness. It covers various applications, such as estimating success rates in Monte Carlo simulations, gauging electoral support, assessing project completion rates, and evaluating product reliability. It provides analysts with both point and interval estimators, highlighting how interval estimators offer precision for point estimates.\u003c\/p\u003e\r\n\r\n\u003cp\u003eKey focus is placed on selecting appropriate confidence interval procedures and understanding their statistical properties. While traditional methods offer only approximate intervals, this work examines popular options and derives their statistical characteristics, providing guidelines for practitioners. Additionally, it discusses pointwise confidence intervals for survivor functions from randomly right-censored datasets, appealing to reliability engineers and survival analysts. It includes practical applications through functions in R, allowing practitioners to compute confidence intervals and visualize their coverage.\u003c\/p\u003e\r\n\r\n\u003cp\u003eAs the first of its kind to focus solely on this topic, the book serves as a valuable resource for advanced students and can support a one-semester course on confidence intervals for proportions, making a significant contribution to the field of statistics.\u003c\/p\u003e\r\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp\u003eLawrence Leemis graduated with a PhD in Industrial Engineering from Purdue University, USA. He is currently a Professor in the Department of Mathematics at William \u0026amp; Mary, USA.\u003c\/p\u003e\r\n\u003cp\u003eHeather \u003cspan style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-IN; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eKrehbiel \u003c\/span\u003egraduated with a PhD in Statistics from Duke University, USA. She is currently a Professor in the Department of Mathematics at William \u0026amp; Mary, USA.\u003c\/p\u003e\r\n\u003cp\u003eYuxin Qin graduated with a BS in Mathematics and Art from William \u0026amp; Mary, USA. She is currently an actuary at Willis Towers Watson, USA.\u003c\/p\u003e\r\n\u003cp\u003eHayeon Park graduated with a BS in Mathematics and Economics from William \u0026amp; Mary, USA. She is currently an actuary at Travelers, USA.\u003c\/p\u003e\r\n\u003cp\u003eKexin Feng graduated with a BS in Mathematics and Economics from William \u0026amp; Mary, USA. She received her PhD in Economics from the California Institute of Technology.\u003cbr\u003eShe is currently a Postdoctoral Associate at the Yale Economic Growth Center.\u003c\/p\u003e\r\n\u003cp\u003eXingyu Wang graduated with a BS in Mathematics and Economics from William \u0026amp; Mary, USA. She is currently a PhD student in Statistics at the University of Washington, USA.\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e04 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783032297327\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\u003e248\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":49937220042892,"sku":"9783032297327","price":152.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783032297327.jpg?v=1783544455","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9783032297327","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}