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Statistics
1. |  Fundamentals of Predictive Analytics with JMP® By: Ron Klimberg; B. D. McCullough Publisher: SAS Institute Publication Date: 04-APR-2013 Insert Date: 05-JUN-2013 Slots: 1.0 | Overview: Fundamentals of Predictive Analytics with JMP®
With the new emphasis on business intelligence, business analytics and predictive analytics, Fundamentals of Predictive Analytics with JMP is invaluable to everyone who needs to expand their knowledge of statistics and apply real problem-solving analysis.
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2. |  Measurement Uncertainty and Probability By: Robin Willink Publisher: Cambridge University Press Publication Date: 31-JAN-2013 Insert Date: 04-JUN-2013 Slots: 1.0 | Overview: Measurement Uncertainty and Probability
A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods...
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3. |  By: Michael J. Crawley Publisher: John Wiley & Sons Publication Date: 19-JUN-2007 Insert Date: 13-MAY-2013 Slots: 1.0 | Overview: The R Book
The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.
Building on the success of the author's bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R,...
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4. |  Computational Statistics, 2nd Edition By: Geof H. Givens; Jennifer A. Hoeting Publisher: John Wiley & Sons Publication Date: 06-NOV-2012 Insert Date: 07-MAY-2013 Slots: 1.0 | Overview: Computational Statistics, 2nd Edition
This new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing. The book is comprised of four main parts spanning the field:
Optimization
Integration and Simulation
Bootstrapping
Density Estimation and Smoothing
Within these sections, each chapter includes a comprehensive introduction and step-by-step implementation summaries to accompany the explanations of key methods. The new edition includes updated coverage and existing topics as well as new topics such as adaptive MCMC and bootstrapping for correlated data. ...
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5. |  Business Statistics, Second Edition By: J. K. Sharma Publisher: Pearson Education India Publication Date: 06-NOV-2006 Insert Date: 06-MAY-2013 Slots: 1.0 | Overview: Business Statistics, Second Edition
The second edition of Business Statistics, continues to retain the clear, crisp pedagogy of the first edition. It now adds new features and an even stronger emphasis on practical, applied statistics that will enhance the text's ability in developing decision-making ability of the reader. In this edition, efforts have been made to assist readers in converting data into useful information that can be used by decision-makers in making more thoughtful, information-based decisions.
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6. |  Business Statistics: Problems and Solutions By: J. K. Sharma Publisher: Pearson Education India Publication Date: 16-JUL-2010 Insert Date: 30-APR-2013 Slots: 1.0 | Overview: Business Statistics: Problems and Solutions
Business Statistics : Problems and Solutions is precise and to the point, and it elucidates the key concepts and methods of business statistics. It aims to supplement textbooks on business statistics and upgrade student's knowledge and skill in the subject and also helps them understand applications of statistical methods in real-life problems. This book meets the requirement of students pursuing BBA, B.Com. (Hons), MBA, M.Com. etc.
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7. |  Fundamentals of Business Statistics By: J. K. Sharma Publisher: Pearson Education India Publication Date: 06-MAY-2010 Insert Date: 30-APR-2013 Slots: 1.0 | Overview: Fundamentals of Business Statistics
Fundamentals of Business Statistics is a comprehensive text for courses in quantitative methods and business statistics. Designed for students of BBA, B.Com., BCA, BA (Eco) and similar other undergraduate courses. This book focuses on enhancing the knowledge of fundamental techniques and their application to problem-solving through numerous solved examples.
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8. |  Industrial Statistics with Minitab By: Pere Grima Cintas; Lluis Marco Almagro; Xavier Tort-Martorell Llabres Publisher: John Wiley & Sons Publication Date: 01-OCT-2012 Insert Date: 12-MAR-2013 Slots: 1.0 | Overview: Industrial Statistics with Minitab
Industrial Statistics with MINITAB demonstrates the use of MINITAB as a tool for performing statistical analysis in an industrial context. This book covers introductory industrial statistics, exploring the most commonly used techniques alongside those that serve to give an overview of more complex issues. A plethora of examples in MINITAB are featured along with case studies for each of the statistical techniques presented.
Industrial Statistics with MINITAB:
Provides comprehensive coverage of user-friendly practical guidance to the essential statistical methods applied in...
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9. |  Common Errors in Statistics (and How to Avoid Them), 4th Edition By: Phillip I. Good; James W. Hardin Publisher: John Wiley & Sons Publication Date: 17-JUL-2012 Insert Date: 12-MAR-2013 Slots: 1.0 | Overview: Common Errors in Statistics (and How to Avoid Them), 4th Edition
Praise for Common Errors in Statistics (and How to Avoid Them)
"A very engaging and valuable book for all who use statistics in any setting."
—CHOICE
"Addresses popular mistakes often made in data collection and provides an indispensable guide to accurate statistical analysis and reporting. The authors' emphasis on careful practice, combined with a focus on the development of solutions, reveals the true value of statistics when applied correctly in any area of research."
—MAA Reviews
Common Errors in Statistics (and How to Avoid Them), Fourth Edition provides a mathematically...
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10. |  Bayesian Statistics: An Introduction, 4th Edition By: Peter M. Lee Publisher: John Wiley & Sons Publication Date: 04-SEP-2012 Insert Date: 12-MAR-2013 Slots: 1.0 | Overview: Bayesian Statistics: An Introduction, 4th Edition
Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee's book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte Carlo based techniques.
This new fourth edition looks at recent techniques such as variational methods, Bayesian importance sampling, approximate Bayesian computation and Reversible Jump Markov Chain Monte Carlo (RJMCMC), providing a concise account of the way in which the Bayesian approach to statistics develops as well...
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11. |  Statistical Methods in Customer Relationship Management By: V. Kumar; J. Andrew Petersen Publisher: John Wiley & Sons Publication Date: 24-SEP-2012 Insert Date: 27-FEB-2013 Slots: 1.0 | Overview: Statistical Methods in Customer Relationship Management
Statistical Methods in Customer Relationship Management focuses on the quantitative and modeling aspects of customer management strategies that lead to future firm profitability, with emphasis on developing an understanding of Customer Relationship Management (CRM) models as the guiding concept for profitable customer management. To understand and explore the functioning of CRM models, this book traces the management strategies throughout a customer's tenure with a firm. Furthermore, the book explores in detail CRM models for customer acquisition, customer retention, customer acquisition...
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12. |  Statistical Disclosure Control By: Anco Hundepool; Josep Domingo-Ferrer; Luisa Franconi; Sarah Giessing; Eric Schulte Nordholt; Keith Spicer; Peter-Paul de Wolf Publisher: John Wiley & Sons Publication Date: 17-SEP-2012 Insert Date: 27-FEB-2013 Slots: 1.0 | Overview: Statistical Disclosure Control
A reference to answer all your statistical confidentiality questions.
This handbook provides technical guidance on statistical disclosure control and on how to approach the problem of balancing the need to provide users with statistical outputs and the need to protect the confidentiality of respondents. Statistical disclosure control is combined with other tools such as administrative, legal and IT in order to define a proper data dissemination strategy based on a risk management approach.
The key concepts of statistical disclosure control are presented, along with the methodology and...
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13. |  Statistical Inference: A Short Course By: Michael J. Panik Publisher: John Wiley & Sons Publication Date: 03-JUL-2012 Insert Date: 27-FEB-2013 Slots: 1.0 | Overview: Statistical Inference: A Short Course
A concise, easily accessible introduction to descriptive and inferential techniques
Statistical Inference: A Short Course offers a concise presentation of the essentials of basic statistics for readers seeking to acquire a working knowledge of statistical concepts, measures, and procedures.
The author conducts tests on the assumption of randomness and normality, provides nonparametric methods when parametric approaches might not work. The book also explores how to determine a confidence interval for a population median while also providing coverage of ratio estimation, randomness, and...
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14. |  Financial Statistics and Mathematical Finance: Methods, Models and Applications By: Ansgar Steland Publisher: John Wiley & Sons Publication Date: 13-AUG-2012 Insert Date: 19-FEB-2013 Slots: 1.0 | Overview: Financial Statistics and Mathematical Finance: Methods, Models and Applications
Mathematical finance has grown into a huge area of research which requires a lot of care and a large number of sophisticated mathematical tools. Mathematically rigorous and yet accessible to advanced level practitioners and mathematicians alike, it considers various aspects of the application of statistical methods in finance and illustrates some of the many ways that statistical tools are used in financial applications.
Financial Statistics and Mathematical Finance:
Provides an introduction to the basics of financial statistics and mathematical finance.
Explains the use and...
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15. |  Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition By: David W. Hosmer; Stanley Lemeshow; Susanne May Publisher: Wiley-Interscience Publication Date: 07-MAR-2008 Insert Date: 01-FEB-2013 Slots: 1.0 | Overview: Applied Survival Analysis: Regression Modeling of Time to Event Data, 2nd Edition
THE MOST PRACTICAL, UP-TO-DATE GUIDE TO MODELLING AND ANALYZING TIME-TO-EVENT DATA—NOW IN A VALUABLE NEW EDITION
Since publication of the first edition nearly a decade ago, analyses using time-to-event methods have increase considerably in all areas of scientific inquiry mainly as a result of model-building methods available in modern statistical software packages. However, there has been minimal coverage in the available literature to9 guide researchers, practitioners, and students who wish to apply these methods to health-related areas of study. Applied Survival Analysis, Second...
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16. |  By: Brian S. Everitt; Sabine Landau; Morven Leese; Daniel Stahl Publisher: John Wiley & Sons Publication Date: 21-FEB-2011 Insert Date: 31-JAN-2013 Slots: 1.0 | Overview: Cluster Analysis, 5th Edition
Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as medicine, psychology, market research and bioinformatics.
This fifth edition of the highly successful Cluster Analysis includes coverage of the latest developments in the field and a new chapter dealing with finite mixture models for structured data.
Real life examples are used throughout...
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17. |  Encyclopedia of Financial Models, 3 Volume Set By: Frank J. Fabozzi Publisher: John Wiley & Sons Publication Date: 06-NOV-2012 Insert Date: 23-JAN-2013 Slots: 1.0 | Overview: Encyclopedia of Financial Models, 3 Volume Set
An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling
The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia of Financial Models, 3 Volume Set has been created to help a broad spectrum of individuals—ranging from finance professionals to academics and students—understand financial modeling and make use of the various models currently...
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18. |  Encyclopedia of Financial Models III By: Frank J. Fabozzi Publisher: John Wiley & Sons Publication Date: 21-NOV-2012 Insert Date: 23-JAN-2013 Slots: 1.0 | Overview: Encyclopedia of Financial Models III
An essential reference dedicated to a wide array of financial models, issues in financial modeling, and mathematical and statistical tools for financial modeling
The need for serious coverage of financial modeling has never been greater, especially with the size, diversity, and efficiency of modern capital markets. With this in mind, the Encyclopedia of Financial Models, 3 Volume Set has been created to help a broad spectrum of individuals—ranging from finance professionals to academics and students—understand financial modeling and make use of the various models currently...
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19. |  Bayesian Analysis of Stochastic Process Models By: David Insua; Fabrizio Ruggeri; Mike Wiper Publisher: John Wiley & Sons Publication Date: 07-MAY-2012 Insert Date: 22-JAN-2013 Slots: 1.0 | Overview: Bayesian Analysis of Stochastic Process Models
Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models.
Key features:
Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment.
Provides a thorough introduction for research students.
Computational tools to deal with complex...
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20. |  Case Studies in Bayesian Statistical Modelling and Analysis By: Clair L. Alston; Kerrie L. Mengersen; Anthony N. Pettitt Publisher: John Wiley & Sons Publication Date: 26-DEC-2012 Insert Date: 11-JAN-2013 Slots: 1.0 | Overview: Case Studies in Bayesian Statistical Modelling and Analysis
Provides an accessible foundation to Bayesian analysis using real world models
This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, health, genetics and finance. Each chapter comprises a description of the problem, the corresponding model, the computational method, results and inferences as well as the issues that arise in the implementation of these approaches.
Case Studies in Bayesian Statistical Modelling and Analysis:
Illustrates how to do Bayesian analysis in a clear and...
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