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A Monte Carlo Approach To Some Problems Inherent In Multivariate Prediction With Special Reference To Multiple Regression
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Book Synopsis A Monte Carlo Approach to Some Problems Inherent in Multivariate Prediction: With Special Reference to Multiple Regression by : John P. Campbell
Download or read book A Monte Carlo Approach to Some Problems Inherent in Multivariate Prediction: With Special Reference to Multiple Regression written by John P. Campbell and published by . This book was released on 1974 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: The studies reported here are concerned with two general questions: (1) What is the best method for using available predictor data to make predictions about individuals in some population of individuals; and, (2) Given that a particular prediction method is used, what is the best way to estimate the level of predictive accuracy which the method will produce in the population. The studies are concerned with the conditions under which certain differential weighting methods for combining predictors into a composite (i.e., a predicted score) are better than others and the conditions under which specific estimation methods are better than others.
Book Synopsis An Investigation of Linear and Configural Prediction with the MMPI by : Joseph A. Micucci
Download or read book An Investigation of Linear and Configural Prediction with the MMPI written by Joseph A. Micucci and published by . This book was released on 1980 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Comparison of Methodologies for Finding Moderator Variables to Improve the Prediction of Scholastic Performance by : John Kokosh
Download or read book A Comparison of Methodologies for Finding Moderator Variables to Improve the Prediction of Scholastic Performance written by John Kokosh and published by . This book was released on 1975 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Simulation by : Christopher Z. Mooney
Download or read book Monte Carlo Simulation written by Christopher Z. Mooney and published by SAGE. This book was released on 1997-04-07 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Aimed at researchers across the social sciences, this book explains the logic behind the Monte Carlo simulation method and demonstrates its uses for social and behavioural research.
Book Synopsis Clinical and Statistical Prediction in a Management Assessment Center by : Robert Frank Silzer
Download or read book Clinical and Statistical Prediction in a Management Assessment Center written by Robert Frank Silzer and published by . This book was released on 1984 with total page 702 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Essentials of Industrial and Organizational Psychology by : William Carl Howell
Download or read book Essentials of Industrial and Organizational Psychology written by William Carl Howell and published by . This book was released on 1982 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual by : Dirk P. Kroese
Download or read book Student Solutions Manual to accompany Simulation and the Monte Carlo Method, Student Solutions Manual written by Dirk P. Kroese and published by John Wiley & Sons. This book was released on 2012-01-20 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB® programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.
Download or read book Interfaces written by and published by . This book was released on 1974 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Investigating the Impact on Validity of Applying Empirical Scoring Procedures to Rationality-derived Inventories by : Cheryl Jean Paullin
Download or read book Investigating the Impact on Validity of Applying Empirical Scoring Procedures to Rationality-derived Inventories written by Cheryl Jean Paullin and published by . This book was released on 2003 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Institute of Management Sciences. Bulletin by :
Download or read book Institute of Management Sciences. Bulletin written by and published by . This book was released on 1974 with total page 1162 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Antecedents and Consequences of Work Related Attitudes by : James Cameron Rush
Download or read book Antecedents and Consequences of Work Related Attitudes written by James Cameron Rush and published by . This book was released on 1980 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo and Quasi-Monte Carlo Methods by : Alexander Keller
Download or read book Monte Carlo and Quasi-Monte Carlo Methods written by Alexander Keller and published by Springer Nature. This book was released on 2022-05-20 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
Book Synopsis Monte-Carlo Simulation-Based Statistical Modeling by : Ding-Geng (Din) Chen
Download or read book Monte-Carlo Simulation-Based Statistical Modeling written by Ding-Geng (Din) Chen and published by Springer. This book was released on 2017-02-01 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the third addressing Bayesian and general statistical modeling using Monte-Carlo simulations. The data and computer programs used here will also be made publicly available, allowing readers to replicate the model development and data analysis presented in each chapter, and to readily apply them in their own research. Featuring highly topical content, the book has the potential to impact model development and data analyses across a wide spectrum of fields, and to spark further research in this direction.
Book Synopsis Annual Review of Psychology by : Calvin Perry Stone
Download or read book Annual Review of Psychology written by Calvin Perry Stone and published by Annual Reviews. This book was released on 1979 with total page 716 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publishes original critical reviews of the significant literature and current developments in psychology.
Book Synopsis The Monte Carlo Methods by : Abdo Abou Jaoudé
Download or read book The Monte Carlo Methods written by Abdo Abou Jaoudé and published by BoD – Books on Demand. This book was released on 2022-03-09 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: In applied mathematics, the name Monte Carlo is given to the method of solving problems by means of experiments with random numbers. This name, after the casino at Monaco, was first applied around 1944 to the method of solving deterministic problems by reformulating them in terms of a problem with random elements, which could then be solved by large-scale sampling. But, by extension, the term has come to mean any simulation that uses random numbers. Monte Carlo methods have become among the most fundamental techniques of simulation in modern science. This book is an illustration of the use of Monte Carlo methods applied to solve specific problems in mathematics, engineering, physics, statistics, and science in general.
Book Synopsis Monte Carlo Methods for Applied Scientists by : Ivan Dimov
Download or read book Monte Carlo Methods for Applied Scientists written by Ivan Dimov and published by World Scientific. This book was released on 2008 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Monte Carlo method is inherently parallel and the extensive and rapid development in parallel computers, computational clusters and grids has resulted in renewed and increasing interest in this method. At the same time there has been an expansion in the application areas and the method is now widely used in many important areas of science including nuclear and semiconductor physics, statistical mechanics and heat and mass transfer. This book attempts to bridge the gap between theory and practice concentrating on modern algorithmic implementation on parallel architecture machines. Although a suitable text for final year postgraduate mathematicians and computational scientists it is principally aimed at the applied scientists: only a small amount of mathematical knowledge is assumed and theorem proving is kept to a minimum, with the main focus being on parallel algorithms development often to applied industrial problems. A selection of algorithms developed both for serial and parallel machines are provided. Sample Chapter(s). Chapter 1: Introduction (231 KB). Contents: Basic Results of Monte Carlo Integration; Optimal Monte Carlo Method for Multidimensional Integrals of Smooth Functions; Iterative Monte Carlo Methods for Linear Equations; Markov Chain Monte Carlo Methods for Eigenvalue Problems; Monte Carlo Methods for Boundary-Value Problems (BVP); Superconvergent Monte Carlo for Density Function Simulation by B-Splines; Solving Non-Linear Equations; Algorithmic Effciency for Different Computer Models; Applications for Transport Modeling in Semiconductors and Nanowires. Readership: Applied scientists and mathematicians.
Book Synopsis Monte Carlo Methods by : Neal Noah Madras
Download or read book Monte Carlo Methods written by Neal Noah Madras and published by American Mathematical Soc.. This book was released on 2000 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the proceedings of the Workshop on Monte Carlo Methods held at The Fields Institute for Research in Mathematical Sciences (Toronto, 1998). The workshop brought together researchers in physics, statistics, and probability. The papers in this volume - of the invited speakers and contributors to the poster session - represent the interdisciplinary emphasis of the conference. Monte Carlo methods have been used intensively in many branches of scientific inquiry. Markov chain methods have been at the forefront of much of this work, serving as the basis of many numerical studies in statistical physics and related areas since the Metropolis algorithm was introduced in 1953. Statisticians and theoretical computer scientists have used these methods in recent years, working on different fundamental research questions, yet using similar Monte Carlo methodology. This volume focuses on Monte Carlo methods that appear to have wide applicability and emphasizes new methods, practical applications and theoretical analysis. It will be of interest to researchers and graduate students who study and/or use Monte Carlo methods in areas of probability, statistics, theoretical physics, or computer science.
