{"title":"Isabel Molina","description":"\u003cp\u003eWelcome to our collection dedicated to Isabel Molina, a highly respected figure in the field of statistics. As an author renowned for her contributions to scientific literature, Molina's work primarily focuses on the development and application of statistical methods.\u003c\/p\u003e\n\n\u003cp\u003eThis collection features her notable work, \u003cem\u003eSmall Area Estimation\u003c\/em\u003e, among others, which serves as a vital resource for statisticians and data scientists. In this book, Molina explores advanced techniques for making accurate estimations in areas with limited data, offering valuable insights for both researchers and practitioners.\u003c\/p\u003e\n\n\u003cp\u003eIsabel Molina's books are an excellent choice for anyone interested in the Science \u0026amp; Nature category, providing readers with a strong foundation in statistical methodologies and their practical applications. Her clear writing style and thorough research make complex topics accessible, making her works essential reading for both academic and professional audiences.\u003c\/p\u003e","products":[{"product_id":"small-area-estimation-by-j-n-k-rao-9781118735787","title":"Small Area Estimation","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003e\u003cb\u003ePraise for the \u003ci\u003eFirst Edition\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\n\n\u003cp\u003e\"This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation, will become a classic...I believe that it has the potential to turn small area estimation...into a larger area of importance to both researchers and practitioners.\"\u003cbr\u003e\u003cspan style=\"font-style: italic; font-weight: bold;\"\u003e—Journal of the American Statistical Association\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cp\u003eWritten by two experts in the field, \u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e provides a comprehensive and up-to-date account of the methods and theory of small area estimation (SAE), particularly indirect estimation based on explicit small area linking models. The model-based approach to small area estimation offers several advantages including increased precision, the derivation of \"optimal\" estimates and associated measures of variability under an assumed model, and the validation of models from the sample data.\u003c\/p\u003e\n\n\u003cp\u003eEmphasizing real data throughout, the \u003ci\u003eSecond Edition\u003c\/i\u003e maintains a self-contained account of crucial theoretical and methodological developments in the field of SAE. The new edition provides extensive accounts of new and updated research, which often involves complex theory to handle model misspecifications and other complexities.\u003c\/p\u003e\n\n\u003cp\u003eIncluding information on survey design issues and traditional methods employing indirect estimates based on implicit linking models, \u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e also features:\u003c\/p\u003e\n\n\u003cul\u003e\n    \u003cli\u003eAdditional sections describing the use of R code data sets for readers to use when replicating applications\u003c\/li\u003e\n    \u003cli\u003eNumerous examples of SAE applications throughout each chapter, including recent applications in U.S. Federal programs\u003c\/li\u003e\n    \u003cli\u003eNew topical coverage on extended design issues, synthetic estimation, further refinements and solutions to the Fay-Herriot area level model, basic unit level models, and spatial and time series models\u003c\/li\u003e\n    \u003cli\u003eA discussion of the advantages and limitations of various SAE methods for model selection from data as well as comparisons of estimates derived from models to reliable values obtained from external sources, such as previous census or administrative data\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003ci\u003eSmall Area Estimation, Second Edition\u003c\/i\u003e is an excellent reference for practising statisticians and survey methodologists as well as practitioners interested in learning SAE methods. The \u003ci\u003eSecond Edition\u003c\/i\u003e is also an ideal textbook for graduate-level courses in SAE and reliable small area statistics.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":46854835405036,"sku":"9781118735787","price":224.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/721bc9df85394ef0f63e46042fbaa5d2.jpg?v=1759264161"}],"url":"https:\/\/bookhero.co.nz\/collections\/isabel-molina.oembed","provider":"Book Hero","version":"1.0","type":"link"}