Author: Chung, Kai Lai Publisher: Elsevier S&T Format: Adobe PDF
Description: Since the publication of the first edition of this classic textbook over thirty years ago, tens of thousands of students have used A Course in Probability Theory. New in this edition is an introductio...
Author: Braun,W. John / Murdoch,Duncan J. Publisher: Cambridge University Press Format: Adobe PDF
Description: This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one ...
Author: Tijms, Henk C. Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: The field of applied probability has changed profoundly in the past twenty years. The development of computational methods has greatly contributed to a better understanding of the theory. A First Co...
Author: Landau, David P. / Binder, Kurt Publisher: Cambridge University Press Format: Adobe PDF
Description: Dealing with all aspects of Monte Carlo simulation of complex physical systems encountered in condensed-matter physics and statistical mechanics, this book provides an introduction to computer simulat...
Author: N/A Publisher: Cambridge University Press Format: Adobe PDF
Description: Social scientists become experts in their own disciplines but arenít always familiar with what is going on in neighboring fields. To foster a deeper understanding of the interconnection of the social...
Description: Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past samp...
Author: Liang, Faming / Liu, Chuanhai / Carroll, Raymond Publisher: Wiley Format: Adobe PDF
Description: Markov Chain Monte Carlo (MCMC) methods are now an indispensable tool in scientific computing. This book discusses recent developments of MCMC methods with an emphasis on those making use of past samp...
Author: Stephens, Larry Publisher: McGraw-Hill Professional Format: Adobe PDF
Description: TAKE THE "MEAN" OUT OF ADVANCED STATISTICSNow anyone who has mastered basic statistics can easily take the next step up. In Advanced Statistics Demystified, experienced statistics instructor Larry J. ...
Author: Panik, Michael J. Publisher: Academic Press Format: Adobe PDF
Description: The highly readable text captures the flavor of a course in mathematical statistics without imposing too much rigor; students can concentrate on the statistical strategies without getting lost in the ...
Author: Panik, Michael J Publisher: Elsevier S&T Format: Adobe PDF
Description: The highly readable text captures the flavor of a course in mathematical statistics without imposing too much rigor; students can concentrate on the statistical strategies without getting lost in the ...
Author: N/A Publisher: Information Age Publishing Format: Adobe PDF
Description: The current volume, Advances in Latent Variable Mixture Models, contains chapters by all of the speakers who participated in the 2006 CILVR conference, providing not just a snapshot of the event, but ...
Description: Due to the widespread use of surveys in agricultural resources estimation there is a broad and recognizable interest in methods and techniques to collect and process agricultural data. This book bring...
Author: N/A Publisher: Cambridge University Press Format: Adobe PDF
Description: This up-to-date account of algebraic statistics and information geometry explores the emerging connections between the two disciplines, demonstrating how they can be used in design of experiments and ...
Author: Higham,Desmond Publisher: Cambridge University Press Format: Adobe PDF
Description: This is a lively textbook providing a solid introduction to financial option valuation for undergraduate students armed with a working knowledge of a first year calculus. Written in a series of short ...
Author: Berger, Martijn P.F. / Wong, Weng-Kee Publisher: Wiley Format: Adobe PDF
Description: The increasing cost of research means that scientists are in more urgent need of optimal design theory to increase the efficiency of parameter estimators and the statistical power of their tests.The o...
Author: Karlin, Samuel / Pinsky, Mark / Pinsky, Mark Publisher: Elsevier S&T Format: Adobe PDF
Description: Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the ...
Author: Yaffee, Robert A. / McGee, Monnie Publisher: Elsevier S&T Format: Adobe PDF
Description: Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text ...
Author: Chambers, Ray Publisher: Wiley Format: Adobe PDF
Description: This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those take...
Author: Piegorsch, Walter W. / Bailer, A. John Publisher: Wiley Format: Adobe PDF
Description: Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over pub...
Author: Brazzale,A. R. / Davison,A. C. / Reid,N. Publisher: Cambridge University Press Format: Adobe PDF
Description: In fields such as biology, medical sciences, sociology, and economics researchers often face the situation where the number of available observations, or the amount of available information, is suffic...
Author: N/A Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: "This book brings together a collection of articles on statistical methods relating to missing data analysis, including multiple imputation, propensity scores, instrumental variables, and Bayesian inf...
Author: Congdon, Peter Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: "The use of Bayesian statistics has grown significantly in recent years, and will undoubtedly continue to do so. Applied Bayesian Modelling is the follow-up to the author’s best selling book, Ba...
Author: Giudici, Paolo / Figini, Silvia Publisher: Wiley Format: Adobe PDF
Description: The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are t...
Author: Zelterman, Daniel Publisher: Cambridge University Press Format: Adobe PDF
Description: This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regress...
Author: Brown, Helen / Prescott, Robin Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: "Since the publication of the first edition the topic of mixed modelling has seen many developments, particularly regarding software and applications. There are now many more software options for appl...
Author: N/A Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: "There is an increasing need to rein in the cost of scientific study without sacrificing accuracy in statistical inference. Optimal design is the judicious allocation of resources to achieve the objec...
Description: Autoregressive Conditional Heteroskedastic (ARCH) processes are used in finance to model asset price volatility over time. This book introduces both the theory and applications of ARCH models and prov...
Description: Assessment Methods in Statistical Education: An International Perspective provides a modern, international perspective on assessing students of statistics in higher education. It is a collection of co...
Author: Bailey, R. A. Publisher: Cambridge University Press Format: Adobe PDF
Description: Association schemes are of interest to both mathematicians and statisticians and this book is written with both audiences in mind. For statisticians, it shows how to construct designs for experiments ...
Author: Csorgo, M. Publisher: Elsevier S&T Format: Adobe PDF
Description: One of the aims of the conference on which this book is based, was to provide a platform for the exchange of recent findings and new ideas inspired by the so-called Hungarian construction and other ap...
Author: Goldstein, Michael / Wooff, David Publisher: Wiley Format: Adobe PDF
Description: Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for ...
Author: Jackman, Simon Publisher: Wiley Format: Adobe PDF
Description: Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an...
Author: Mallick, Bani K. / Gold, David / Baladandayuthapani, Veera Publisher: Wiley Format: Adobe PDF
Description: The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data...
Author: Gelman, Andrew Publisher: Chapman & Hall Format: Adobe PDF
Description: Emphasizing practice over theory, Bayesian Data Analysis describes how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Using examples from the authors' own ex...
Author: Smith, Jim Q. Publisher: Cambridge University Press Format: Adobe PDF
Description: Bayesian decision analysis supports principled decision making in complex domains. This textbook takes the reader from a formal analysis of simple decision problems to a careful analysis of the someti...
Author: Gregory, Phil Publisher: Cambridge University Press Format: Adobe PDF
Description: Increasingly, researchers in many branches of science are coming into contact with Bayesian statistics or Bayesian probability theory. By encompassing both inductive and deductive logic, Bayesian anal...
Author: Congdon, Peter Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data...
Author: N/A Publisher: IGI Publishing Format: Adobe PDF
Description: Bayesian networks are now being used in a variety of artificial intelligence applications. These networks are high-level representations of probability distributions over a set of variables that are u...
Author: Koski, Timo / Noble, John Publisher: Wiley Format: Adobe PDF
Description: Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists...
Author: Koski, Timo / Noble, John Publisher: Wiley Format: Adobe ePUB
Description: Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications of Bayesian networks, a topic of interest and importance for statisticians, computer scientists...
Description: Bayesian Networks, the result of the convergence of artificial intelligence with statistics, are growing in popularity. Their versatility and modelling power is now employed across a variety of fields...
Author: N/A Publisher: Cambridge University Press Format: Adobe PDF
Description: Bayesian nonparametrics works ÇƒÏ theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, thou...
Author: Congdon, Peter Publisher: John Wiley & Sons, Ltd. Format: Adobe PDF
Description: Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but i...
Author: Bernardo, José M. / Smith, Adrian F. M. Publisher: Wiley Format: Adobe PDF
Description: This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case...
Author: Hailperin, T. Publisher: Elsevier S&T Format: Adobe PDF
Description: Since the publication of the first edition in 1976, there has been a notable increase of interest in the development of logic. This is evidenced by the several conferences on the history of logic, by ...
