Books about Analyses from Amazon.com

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields. Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive. A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis..
Price: $38.12 [Notify me when price goes down.]

This book presents a concise treatment of stochastic calculus and its applications It gives a simple but rigorous treatment of the subject including a range of advanced topics, it is useful for practitioners who use advanced theoretical results. It covers advanced applications, such as models in mathematical finance, biology and engineering.

Self-contained and unified in presentation, the book contains many solved examples and exercises. It may be used as a textbook by advanced undergraduates and graduate students in stochastic calculus and financial mathematics. It is also suitable for practitioners who wish to gain an understanding or working knowledge of the subject. For mathematicians, this book could be a first text on stochastic calculus; it is good companion to more advanced texts by a way of examples and exercises. For people from other fields, it provides a way to gain a working knowledge of stochastic calculus. It shows all readers the applications of stochastic calculus methods and takes readers to the technical level required in research and sophisticated modelling.

This second edition contains a new chapter on bonds, interest rates and their options. New materials include more worked out examples in all chapters, best estimators, more results on change of time, change of measure, random measures, new results on exotic options, FX options, stochastic and implied volatility, models of the age-dependent branching process and the stochastic Lotka Volterra model in biology, non-linear filtering in engineering and five new figures.

Contents: Preliminaries from Calculus; Concepts of Probability Theory; Basic Stochastic Processes; Brownian Motion Calculus; Stochastic Differential Equations; Diffusion Processes; Martingales; Calculus for Semimartingales; Pure Jump Processes; Change of Probability Measure; Applications in Finance: Stock and FX Options; Applications in Finance: Bonds, Rates and Options; Applications in Biology; Applications in Engineering and Physics..
Price: $34.11 [Notify me when price goes down.]

Statistics in Plain English, 2/e provides a brief, simple overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. It presents brief explanations of statistical concepts and techniques in simple, everyday language. Each self-contained chapter consists of three sections. The first describes the statistic, including how it is used and what information it provides. The second section reviews how it works, how to calculate the formula, the strengths and weaknesses of the technique, and the conditions needed for its use. The final section provides examples that use and interpret the statistic. A glossary of terms and symbols is also included.

New features in the second edition include:
* an interactive CD with PowerPoint presentations and problems for each chapter including an overview of the problem's solution;
* new chapters on basic research concepts including sampling, definitions of different types of variables,and basic research designs and one on nonparametric statistics;
* more graphs and more precise descriptions of each statistic; and
* a discussion of confidence intervals.

This brief paperback is an ideal supplement for statistics, research methods, courses that use statistics, or as a reference tool to refresh one's memory about key concepts. The actual research examples are from psychology, education, and other social and behavioral sciences..
Price: $23.39 [Notify me when price goes down.]

Powerful software often comes, unfortunately, with an overwhelming amount of documentation As a leading statistics software package, SAS is no exception Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following: · Data description and simple inference for categorical variables · Generalized linear models · Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional..
Price: $49.20 [Notify me when price goes down.]

The field of cost-effectiveness analysis has lacked an entry-level textbook until now. Designing and Conducting Cost-Effectiveness Analyses in Medicine and Health Care is a hands-on guide for conducting economic analyses that closely follows the recommendations of the Panel on Cost-Effectiveness in Health and Medicine. Step by step, Dr. Muennig outlines the theory and practice of cost-effectiveness and shows how to develop an original research question, retrieve data, design a decision analysis tree, calculate quality-adjusted life years, and test for error in analysis. The book provides clear and detailed instruction and includes a review of the epidemiological and biostatistical skills students need to conduct cost-effectiveness analyses. While the book is designed for students, it includes advanced topics for policymakers, community health experts, and preventive medicine residents who are interested in the field. The book uses a worked example to walk the reader through the process of designing and conducting an analysis and provides links to all of the major Internet-accessible sources of government data. This book will be a welcome addition to the library of students and seasoned researchers alike..
Price: $51.88 [Notify me when price goes down.]

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts, describing and comparing the main ideas and controversies over foundational issues that have been keenly argued for more than two-hundred years. Continuing a sixty-year career of major contributions to statistical thought, no one is better placed to give this much-needed account of the field. An appendix gives a more personal assessment of the merits of different ideas. The content ranges from the traditional to the contemporary. While specific applications are not treated, the book is strongly motivated by applications across the sciences and associated technologies. The mathematics is kept as elementary as feasible, though previous knowledge of statistics is assumed. The book will be valued by every user or student of statistics who is serious about understanding the uncertainty inherent in conclusions from statistical analyses..
Price: $30.00 [Notify me when price goes down.]