This book deals with estimation in situations in which there is believed to be enough information to model parametrically some, but not all of the features of a data set. Such models have arisen in a wide context in recent years, and involve new nonlinear estimation procedures. Statistical models of this type are directly applicable to fields such as economics, epidemiology, and astronomy.
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Inside This Book
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Key Phrases - Statistically Improbable Phrases (SIPs):
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biased sampling models, transformation models, parametric models, information bound calculations, missing data models, constrained families, efficient influence function, pathwise differentiable, efficient influence operator, information covariance function, efficient score function, pathwise differentiability, asymptotically linear estimate, symmetric location model, regular parametric submodel, regular parametric model, estimator achieving, minimum contrast estimates, asymptotic linearity, regular estimator, score operators, parametric submodels, censoring model, copula model, adaptive estimates Key Phrases - Capitalized Phrases (CAPs): (learn more)
Further Examples, Euclidean Parameters, Infinite-Dimensional Parameters, Construction of Estimates, Efficient Estimation, Infinite-Dimensional Models, Derivatives of Functions, Some Geometry, Semiparametric Group Models, Differentiability of Functions, Master Theorem, Asymptotic Inference Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
biased sampling models, transformation models, parametric models, information bound calculations, missing data models, constrained families, efficient influence function, pathwise differentiable, efficient influence operator, information covariance function, efficient score function, pathwise differentiability, asymptotically linear estimate, symmetric location model, regular parametric submodel, regular parametric model, estimator achieving, minimum contrast estimates, asymptotic linearity, regular estimator, score operators, parametric submodels, censoring model, copula model, adaptive estimates Key Phrases - Capitalized Phrases (CAPs): (learn more)
Further Examples, Euclidean Parameters, Infinite-Dimensional Parameters, Construction of Estimates, Efficient Estimation, Infinite-Dimensional Models, Derivatives of Functions, Some Geometry, Semiparametric Group Models, Differentiability of Functions, Master Theorem, Asymptotic Inference Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
27
books
cite this book:
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- Frontiers in Statistics by Hira L Koul on 5 pages
- Parametric and Semiparametric Models with Applications to Reliability, Survival Analysis, and Quality of Life (Statistics for Industry and Technology) by M.S. Nikulin on page 265, and page 472
- Asymptotics, Nonparametrics, and Time Series (Statistics: A Series of Textbooks and Monographs) by Subir Ghosh on page 423, and page 453
- Semiparametric Regression for the Applied Econometrician (Themes in Modern Econometrics) by Adonis Yatchew in Back Matter
- Nonparametrics: Statistical Methods Based on Ranks by Erich L. Lehmann in Back Matter
See all 27 books citing this book
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