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Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics)

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Description:This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error. This is the first book to consider the generalized empirical likelihood applied to time series models in frequency domain and also the estimation motivated by minimizing quantile prediction error without assumption of true model. It provides the reader with a new horizon for understanding the prediction problem that occurs in time series modeling and a contemporary approach of hypothesis testing by the generalized empirical likelihood method. Nonparametric aspects of the methods proposed in this book also satisfactorily address economic and financial problems without imposing redundantly strong restrictions on the model, which has been true until now. Dealing with infinite variance processes makes analysis of economic and financial data more accurate under the existing results from the demonstrative research. The scope of applications, however, is expected to apply to much broader academic fields. The methods are also sufficiently flexible in that they represent an advanced and unified development of prediction form including multiple-point extrapolation, interpolation, and other incomplete past forecastings. Consequently, they lead readers to a good combination of efficient and robust estimate and test, and discriminate pivotal quantities contained in realistic time series models.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics). To get started finding Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
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ISBN: 9811001529

Description: This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance processes, not only from the point of view of efficiency but also from that of robustness and optimality by minimizing prediction error. This is the first book to consider the generalized empirical likelihood applied to time series models in frequency domain and also the estimation motivated by minimizing quantile prediction error without assumption of true model. It provides the reader with a new horizon for understanding the prediction problem that occurs in time series modeling and a contemporary approach of hypothesis testing by the generalized empirical likelihood method. Nonparametric aspects of the methods proposed in this book also satisfactorily address economic and financial problems without imposing redundantly strong restrictions on the model, which has been true until now. Dealing with infinite variance processes makes analysis of economic and financial data more accurate under the existing results from the demonstrative research. The scope of applications, however, is expected to apply to much broader academic fields. The methods are also sufficiently flexible in that they represent an advanced and unified development of prediction form including multiple-point extrapolation, interpolation, and other incomplete past forecastings. Consequently, they lead readers to a good combination of efficient and robust estimate and test, and discriminate pivotal quantities contained in realistic time series models.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics). To get started finding Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

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Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics)

Empirical Likelihood and Quantile Methods for Time Series: Efficiency, Robustness, Optimality, and Prediction (SpringerBriefs in Statistics)

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