Grace Y. Yi's Books

Statistical Analysis with Measurement Error or Misclassification

Strategy, Method and Application

By: Grace Y. Yi

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Statistical Analysis with Measurement Error or Misclassification

Strategy, Method and Application

By: Grace Y. Yi

This monograph on measurement error and misclassification covers a broad range of problems and emphasizes unique features in modeling and analyzing problems arising from medical research and epidemiological studies. Many measurement error and misclassification problems have been addressed in various fields over the years as well as with a wide spectrum of data, including event history data (such as survival data and recurrent event data), correlated data (such as longitudinal data and clustered data), multi-state event data, and data arising from case-control studies. Statistical Analysis with Measurement Error or Misclassification: Strategy, Method and Application brings together assorted methods in a single text and provides an update of recent developments for a variety of settings. Measurement error effects and strategies of handling mismeasurement for different models are closely examined in combination with applications to specific problems. Readers with diverse backgrounds and objectives can utilize this text. Familiarity with inference methods—such as likelihood and estimating function theory—or modeling schemes in varying settings—such as survival analysis and longitudinal data analysis—can result in a full appreciation of the material, but it is not essential since each chapter provides basic inference frameworks and background information on an individual topic to ease the access of the material. The text is presented in a coherent and self-contained manner and highlights the essence of commonly used modeling and inference methods. This text can serve as a reference book for researchers interested in statistical methodology for handling data with measurement error or misclassification; as a textbook for graduate students, especially for those majoring in statistics and biostatistics; or as a book for applied statisticians whose interest focuses on analysis of error-contaminated data. Grace Y. Yi is Professor of Statistics and University Research Chair at the University of Waterloo. She is the 2010 winner of the CRM-SSC Prize, an honor awarded in recognition of a statistical scientist's professional accomplishments in research during the first 15 years after having received a doctorate. She is a Fellow of the American Statistical Association and an Elected Member of the International Statistical Institute.

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Page Count

497

Publisher

Springer

Published Date

ISBN 10

1493966405

ISBN 13

9781493966400

REGIONAL ECONOMIC

By: Fafurida,Grace Natalia Marpaung

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REGIONAL ECONOMIC

By: Fafurida,Grace Natalia Marpaung

Regional economics is a part of economics, which specifically discusses limitations of the economic area of a country by considering the conditions and natural resources and human resources available in each economic area. Regional economics does not discuss individual activities, but rather analyzes a region as a whole by considering the various potentials that can be developed to accelerate the economic growth of the region concerned. Due to the specialization possessed by the regional economy, this science has developed into a new specialization field that stands as well as other branches of economics such as econometrics, population economics, operational research, and others. As with other sciences, regional economics appears as a criticism and at the same time provides a new dimension to economic analysis in order to complement and develop traditional economic thinking so that it can solve socio-economic problems that always changes throughout the ages. This book is geared towards two groups of readers such as academics and practitioners. Each material is formulated using ordinary sentences in order to easily explain the contents and uses of science. Thus academics and practitioners are expected to be able to capture the meaning of Regional Economics presented in the book. This book can provide benefits to the public, especially related regional officials who are able to assist in carrying out more targeted tasks.

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Page Count

103

Publisher

Penerbit NEM

Published Date

ISBN 10

6236293716

ISBN 13

9786236293713

Spline Models for Observational Data

By: Grace Wahba

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Spline Models for Observational Data

By: Grace Wahba

This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of functions from noisy data on functionals. The simplest example is the estimation of a smooth curve, given noisy observations on a finite number of its values. Convergence properties, data based smoothing parameter selection, confidence intervals, and numerical methods are established which are appropriate to a number of problems within this framework. Methods for including side conditions and other prior information in solving ill posed inverse problems are provided. Data which involves samples of random variables with Gaussian, Poisson, binomial, and other distributions are treated in a unified optimization context. Experimental design questions, i.e., which functionals should be observed, are studied in a general context. Extensions to distributed parameter system identification problems are made by considering implicitly defined functionals.

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Page Count

174

Publisher

SIAM

Published Date

ISBN 10

0898712440

ISBN 13

9780898712445

Statistical Analysis with Measurement Error or Misclassification

Strategy, Method and Application

By: Grace Y. Yi

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Statistical Analysis with Measurement Error or Misclassification

Strategy, Method and Application

By: Grace Y. Yi

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

497

Publisher

Springer

Published Date

ISBN 10

1493966405

ISBN 13

9781493966400

Book's by Grace Y. Yi

Statistical Analysis with Measurement Error or Misclassification

Statistical Analysis with Measurement Error or Misclassification

REGIONAL ECONOMIC

REGIONAL ECONOMIC

Spline Models for Observational Data

Spline Models for Observational Data

Statistical Analysis with Measurement Error or Misclassification

Statistical Analysis with Measurement Error or Misclassification

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