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Least Upper Bound For The Covariance Matrix Of A Generalized Least Squares Estimator In Regression With Applications To A Seemingly Unrelated Regression Model And A Heteroscedastic Model
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Book Synopsis Least Upper Bound for the Covariance Matrix of a Generalized Least Squares Estimator in Regression with Applications to a Seemingly Unrelated Regression Model and a Heteroscedastic Model by : Hiroshi Kurata
Download or read book Least Upper Bound for the Covariance Matrix of a Generalized Least Squares Estimator in Regression with Applications to a Seemingly Unrelated Regression Model and a Heteroscedastic Model written by Hiroshi Kurata and published by . This book was released on 1996 with total page 13 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Generalized Least Squares by : Takeaki Kariya
Download or read book Generalized Least Squares written by Takeaki Kariya and published by John Wiley & Sons. This book was released on 2004-11-19 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generalised Least Squares adopts a concise and mathematically rigorous approach. It will provide an up-to-date self-contained introduction to the unified theory of generalized least squares estimations, adopting a concise and mathematically rigorous approach. The book covers in depth the 'lower and upper bounds approach', pioneered by the first author, which is widely regarded as a very powerful and useful tool for generalized least squares estimation, helping the reader develop their understanding of the theory. The book also contains exercises at the end of each chapter and applications to statistics, econometrics, and biometrics, enabling use for self-study or as a course text.
Book Synopsis Multivariate Statistics by : Yasunori Fujikoshi
Download or read book Multivariate Statistics written by Yasunori Fujikoshi and published by John Wiley & Sons. This book was released on 2011-08-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive examination of high-dimensional analysis of multivariate methods and their real-world applications Multivariate Statistics: High-Dimensional and Large-Sample Approximations is the first book of its kind to explore how classical multivariate methods can be revised and used in place of conventional statistical tools. Written by prominent researchers in the field, the book focuses on high-dimensional and large-scale approximations and details the many basic multivariate methods used to achieve high levels of accuracy. The authors begin with a fundamental presentation of the basic tools and exact distributional results of multivariate statistics, and, in addition, the derivations of most distributional results are provided. Statistical methods for high-dimensional data, such as curve data, spectra, images, and DNA microarrays, are discussed. Bootstrap approximations from a methodological point of view, theoretical accuracies in MANOVA tests, and model selection criteria are also presented. Subsequent chapters feature additional topical coverage including: High-dimensional approximations of various statistics High-dimensional statistical methods Approximations with computable error bound Selection of variables based on model selection approach Statistics with error bounds and their appearance in discriminant analysis, growth curve models, generalized linear models, profile analysis, and multiple comparison Each chapter provides real-world applications and thorough analyses of the real data. In addition, approximation formulas found throughout the book are a useful tool for both practical and theoretical statisticians, and basic results on exact distributions in multivariate analysis are included in a comprehensive, yet accessible, format. Multivariate Statistics is an excellent book for courses on probability theory in statistics at the graduate level. It is also an essential reference for both practical and theoretical statisticians who are interested in multivariate analysis and who would benefit from learning the applications of analytical probabilistic methods in statistics.
Book Synopsis A Maximal Extension of the Gauss-Markov Theorem and Its Nonlinear Version by : Takeaki Kariya
Download or read book A Maximal Extension of the Gauss-Markov Theorem and Its Nonlinear Version written by Takeaki Kariya and published by . This book was released on 1998 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Statistical Theory and Method Abstracts by :
Download or read book Statistical Theory and Method Abstracts written by and published by . This book was released on 1997 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Aanwinsten van de Centrale Bibliotheek (Queteletfonds) by : Bibliothèque centrale (Fonds Quetelet)
Download or read book Aanwinsten van de Centrale Bibliotheek (Queteletfonds) written by Bibliothèque centrale (Fonds Quetelet) and published by . This book was released on 1997 with total page 1298 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Scientiae Mathematicae Japonicae by :
Download or read book Scientiae Mathematicae Japonicae written by and published by . This book was released on 2001 with total page 680 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Chinese Journal of Contemporary Mathematics by :
Download or read book Chinese Journal of Contemporary Mathematics written by and published by . This book was released on 2001 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Mathematical Reviews written by and published by . This book was released on 2003 with total page 1448 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Note on an Upper Bound for the Covariance Matrix of a Generalized Least Squares Estimator in a Heteroscedastic Model by : Hiroshi Kurata
Download or read book A Note on an Upper Bound for the Covariance Matrix of a Generalized Least Squares Estimator in a Heteroscedastic Model written by Hiroshi Kurata and published by . This book was released on 2000 with total page 18 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Technometrics written by and published by . This book was released on 2005 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Properties of Ordinary Least Squares Estimators in Regression Models with Non-spherical Disturbances by : Denzil G. Fiebig
Download or read book Properties of Ordinary Least Squares Estimators in Regression Models with Non-spherical Disturbances written by Denzil G. Fiebig and published by . This book was released on 1989 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Dissertation Abstracts International by :
Download or read book Dissertation Abstracts International written by and published by . This book was released on 1990 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Current Index to Statistics, Applications, Methods and Theory by :
Download or read book Current Index to Statistics, Applications, Methods and Theory written by and published by . This book was released on 1996 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Current Index to Statistics (CIS) is a bibliographic index of publications in statistics, probability, and related fields.
Book Synopsis Modeling Ordered Choices by : William H. Greene
Download or read book Modeling Ordered Choices written by William H. Greene and published by Cambridge University Press. This book was released on 2010-04-08 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is increasingly common for analysts to seek out the opinions of individuals and organizations using attitudinal scales such as degree of satisfaction or importance attached to an issue. Examples include levels of obesity, seriousness of a health condition, attitudes towards service levels, opinions on products, voting intentions, and the degree of clarity of contracts. Ordered choice models provide a relevant methodology for capturing the sources of influence that explain the choice made amongst a set of ordered alternatives. The methods have evolved to a level of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the decomposition of the residual variance. This book brings together contributions in ordered choice modeling from a number of disciplines, synthesizing developments over the last fifty years, and suggests useful extensions to account for the wide range of sources of influence on choice.
Book Synopsis The Rao-Zyskind Condition and the Efficiency of Some Least Squares Estimators by : Michael McAleer
Download or read book The Rao-Zyskind Condition and the Efficiency of Some Least Squares Estimators written by Michael McAleer and published by . This book was released on 1989 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Another Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator by : Kenneth D. West
Download or read book Another Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator written by Kenneth D. West and published by . This book was released on 1995 with total page 44 pages. Available in PDF, EPUB and Kindle. Book excerpt: A þT consistent estimator of a heteroskedasticity and autocorrelation consistent covariance matrix estimator is proposed and evaluated. The relevant applications are ones in which the regression disturbance follows a moving average process of known order. In a system of þ equations, this `MA-þ' estimator entails estimation of the moving average coefficients of an þ-dimensional vector. Simulations indicate that the MA-þ estimator's finite sample performance is better than that of the estimators of Andrews and Monahan (1992) and Newey and West (1994) when cross-products of instruments and disturbances are sharply negatively autocorrelated, comparable or slightly worse otherwise.
