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A Monte Carlo Study Of Robust Estimators Of Correlation
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Book Synopsis A Monte Carlo Study of Robust Estimators of Correlation by : Peter Ratener
Download or read book A Monte Carlo Study of Robust Estimators of Correlation written by Peter Ratener and published by . This book was released on 1977 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study of Robust Estimators of Location by : Raymond J. Carroll
Download or read book A Monte Carlo Study of Robust Estimators of Location written by Raymond J. Carroll and published by . This book was released on 1975 with total page 50 pages. Available in PDF, EPUB and Kindle. Book excerpt: Andrews et al (1972) carried out an extensive Monte Carlo study of robust estimators of location. Their conclusions were that the hampel and the skipped estimates, as classes, seemed to be preferable to some of the other currently fashionable estimators. The present study extends this work to include estimators not previously examined. The estimators are compared over short-tailed as well as long-tailed alternatives and also over some dependent data generated by first-order autoregressive schemes. The conclusions of the present study are threefold. First, from our limited study, none of the so-called robust estimators are very robust over short-tailed situations. More work seems to be necessary in this situation. Second, none of the estimators perform very well in dependent data situations, particularly when the correlation is large and positive. This seems to be a rather pressing problem. Finally, for long-tailed alternatives, the hampel estimators and Hogg-type adaptive versions of the hampels are the strongest classes.
Book Synopsis An Interim Report of a Monte Carlo Study of Robust Estimators of Width by : David A. Lax
Download or read book An Interim Report of a Monte Carlo Study of Robust Estimators of Width written by David A. Lax and published by . This book was released on 1975 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Techniques in Studying Robust Estimators by : David C. Hoaglin
Download or read book Monte Carlo Techniques in Studying Robust Estimators written by David C. Hoaglin and published by . This book was released on 2010 with total page 19 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent work on robust estimation has led to many procedures, which are easy to formulate and straightforward to program but difficult to study analytically. In such circumstances experimental sampling is quite attractive, but the variety and complexity of both estimators and sampling situations make effective Monte Carlo techniques essential. This discussion examines problems, techniques, and results and draws on examples in studies of robust location and robust regression.
Book Synopsis A Monte Carlo Comparison of Four Estimators of the Dispersion Matrix of a Bivariate Normal Population, Using Incomplete Data by : J. N. Srivastava
Download or read book A Monte Carlo Comparison of Four Estimators of the Dispersion Matrix of a Bivariate Normal Population, Using Incomplete Data written by J. N. Srivastava and published by . This book was released on 1972 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Simulation and Resampling Methods for Social Science by : Thomas M. Carsey
Download or read book Monte Carlo Simulation and Resampling Methods for Social Science written by Thomas M. Carsey and published by SAGE Publications. This book was released on 2013-08-05 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, this book examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.
Book Synopsis Monte Carlo for Robust Regression by : Paul W. Holland
Download or read book Monte Carlo for Robust Regression written by Paul W. Holland and published by . This book was released on 1973 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper gives an alternative derivation of a Monte Carlo method that has been used to study robust estimators. Extensions of the technique to the regression case are also considered and some computational points are briefly mentioned.
Book Synopsis Monte Carlo Methods by : J. Hammersley
Download or read book Monte Carlo Methods written by J. Hammersley and published by Springer Science & Business Media. This book was released on 2013-03-07 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph surveys the present state of Monte Carlo methods. we have dallied with certain topics that have interested us Although personally, we hope that our coverage of the subject is reasonably complete; at least we believe that this book and the references in it come near to exhausting the present range of the subject. On the other hand, there are many loose ends; for example we mention various ideas for variance reduction that have never been seriously appli(:d in practice. This is inevitable, and typical of a subject that has remained in its infancy for twenty years or more. We are convinced Qf:ver theless that Monte Carlo methods will one day reach an impressive maturity. The main theoretical content of this book is in Chapter 5; some readers may like to begin with this chapter, referring back to Chapters 2 and 3 when necessary. Chapters 7 to 12 deal with applications of the Monte Carlo method in various fields, and can be read in any order. For the sake of completeness, we cast a very brief glance in Chapter 4 at the direct simulation used in industrial and operational research, where the very simplest Monte Carlo techniques are usually sufficient. We assume that the reader has what might roughly be described as a 'graduate' knowledge of mathematics. The actual mathematical techniques are, with few exceptions, quite elementary, but we have freely used vectors, matrices, and similar mathematical language for the sake of conciseness.
Book Synopsis A Monte Carlo Study of the Robustness of the Standard Deviation of the Sample Correlation Coefficient to the Assumption of Normality by : Camilla Anita Brooks
Download or read book A Monte Carlo Study of the Robustness of the Standard Deviation of the Sample Correlation Coefficient to the Assumption of Normality written by Camilla Anita Brooks and published by . This book was released on 1970 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo study of two robust alternatives to least squares regression estimation by :
Download or read book A Monte Carlo study of two robust alternatives to least squares regression estimation written by and published by . This book was released on 1974 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study of the Estimation of an Overidentified Model with Temporally Dependent Residuals by : Jean Pierre Aubry
Download or read book A Monte Carlo Study of the Estimation of an Overidentified Model with Temporally Dependent Residuals written by Jean Pierre Aubry and published by . This book was released on 1973 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study of the Correlation Coefficient Obtained on Incomplete Data by : Sharon M. Duncan
Download or read book A Monte Carlo Study of the Correlation Coefficient Obtained on Incomplete Data written by Sharon M. Duncan and published by . This book was released on 1976 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Methods in Statistical Physics by : Kurt Binder
Download or read book Monte Carlo Methods in Statistical Physics written by Kurt Binder and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the seven years since this volume first appeared. there has been an enormous expansion of the range of problems to which Monte Carlo computer simulation methods have been applied. This fact has already led to the addition of a companion volume ("Applications of the Monte Carlo Method in Statistical Physics", Topics in Current Physics. Vol . 36), edited in 1984, to this book. But the field continues to develop further; rapid progress is being made with respect to the implementation of Monte Carlo algorithms, the construction of special-purpose computers dedicated to exe cute Monte Carlo programs, and new methods to analyze the "data" generated by these programs. Brief descriptions of these and other developments, together with numerous addi tional references, are included in a new chapter , "Recent Trends in Monte Carlo Simulations" , which has been written for this second edition. Typographical correc tions have been made and fuller references given where appropriate, but otherwise the layout and contents of the other chapters are left unchanged. Thus this book, together with its companion volume mentioned above, gives a fairly complete and up to-date review of the field. It is hoped that the reduced price of this paperback edition will make it accessible to a wide range of scientists and students in the fields to which it is relevant: theoretical phYSics and physical chemistry , con densed-matter physics and materials science, computational physics and applied mathematics, etc.
Book Synopsis A Monte Carlo Study of Orthogonal Least Squares Estimators by : Suat-Hun Go
Download or read book A Monte Carlo Study of Orthogonal Least Squares Estimators written by Suat-Hun Go and published by . This book was released on 1970 with total page 58 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Monte Carlo Study of the Robustness of Coefficient Alpha by : Sharon G. Shultz
Download or read book A Monte Carlo Study of the Robustness of Coefficient Alpha written by Sharon G. Shultz and published by . This book was released on 1993 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: The biasedness and efficiency of coefficient alpha were studied given various error score distribution, number of examinees, population reliability values, and number of subtests. A Monte Carlo methodology was used in which an additive true score matrix was constructed and an error score was added to each true score. The true scores were uniformly distributed while the error score distributions used were the normal, mixed normal, exponential, and the negative exponential. In addition, 1000 replications were used and the resulting sampling distributions were examined with respect to their skewness and kurtosis.
Book Synopsis A Monte Carlo Study of Robust Location Estimates with Non-Gaussian Multivariate Data by : M. Anthony Wong
Download or read book A Monte Carlo Study of Robust Location Estimates with Non-Gaussian Multivariate Data written by M. Anthony Wong and published by . This book was released on 1980 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Strategies in Scientific Computing by : Jun S. Liu
Download or read book Monte Carlo Strategies in Scientific Computing written by Jun S. Liu and published by Springer Science & Business Media. This book was released on 2001 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. It can be used as a textbook for a graduate-level course on Monte Carlo methods.