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Statistical Methods In Computer Security

Author: William W.S. Chen
Publisher: CRC Press
ISBN: 1420030884
Size: 30.95 MB
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Statistical Methods in Computer Security summarizes discussions held at the recent Joint Statistical Meeting to provide a clear layout of current applications in the field. This blue-ribbon reference discusses the most influential advancements in computer security policy, firewalls, and security issues related to passwords. It addresses crime and misconduct on the Internet, considers the development of infrastructures that may prevent breaches of security and law, and illustrates the vulnerability of networked computers to new virus attacks despite widespread deployment of antivirus software, firewalls, and other network security equipment.

Visualizing Statistical Models And Concepts

Author: R.W. Farebrother
Publisher: CRC Press
ISBN: 0824744608
Size: 77.91 MB
Format: PDF, ePub
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An examination of classic algorithms, geometric diagrams and mechanical principles for enhanced visualization of statistical estimation procedures and mathematical concepts in physics, engineering and computer programming.

Statistical Methodology In The Pharmaceutical Sciences

Author: D. A. Berry
Publisher: CRC Press
ISBN: 1482276860
Size: 77.55 MB
Format: PDF, Docs
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A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include: bioavailability, repeated-measures designs, dose-response, population models, multicenter trials, handling dropouts, survival analysis, robust data analysis, cate

Bayesian Model Selection And Statistical Modeling

Author: Tomohiro Ando
Publisher: CRC Press
ISBN: 9781439836156
Size: 67.82 MB
Format: PDF, Mobi
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Along with many practical applications, Bayesian Model Selection and Statistical Modeling presents an array of Bayesian inference and model selection procedures. It thoroughly explains the concepts, illustrates the derivations of various Bayesian model selection criteria through examples, and provides R code for implementation. The author shows how to implement a variety of Bayesian inference using R and sampling methods, such as Markov chain Monte Carlo. He covers the different types of simulation-based Bayesian model selection criteria, including the numerical calculation of Bayes factors, the Bayesian predictive information criterion, and the deviance information criterion. He also provides a theoretical basis for the analysis of these criteria. In addition, the author discusses how Bayesian model averaging can simultaneously treat both model and parameter uncertainties. Selecting and constructing the appropriate statistical model significantly affect the quality of results in decision making, forecasting, stochastic structure explorations, and other problems. Helping you choose the right Bayesian model, this book focuses on the framework for Bayesian model selection and includes practical examples of model selection criteria.

Computational Methods In Statistics And Econometrics

Author: Hisashi Tanizaki
Publisher: CRC Press
ISBN: 0824750888
Size: 34.11 MB
Format: PDF, ePub
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Reflecting current technological capacities and analytical trends, Computational Methods in Statistics and Econometrics showcases Monte Carlo and nonparametric statistical methods for models, simulations, analyses, and interpretations of statistical and econometric data. The author explores applications of Monte Carlo methods in Bayesian estimation, state space modeling, and bias correction of ordinary least squares in autoregressive models. The book offers straightforward explanations of mathematical concepts, hundreds of figures and tables, and a range of empirical examples. A CD-ROM packaged with the book contains all of the source codes used in the text.

Statistical Analysis Of Dna Sequence Data

Author: Bruce S. Weir
Publisher: Marcel Dekker Inc
ISBN:
Size: 41.19 MB
Format: PDF, ePub, Mobi
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Good,No Highlights,No Markup,all pages are intact, Slight Shelfwear,may have the corners slightly dented, may have slight color changes/slightly damaged spine.

Applied Statistical Inference With Minitab

Author: Sally Lesik
Publisher: CRC Press
ISBN: 142006584X
Size: 11.65 MB
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Through clear, step-by-step mathematical calculations, Applied Statistical Inference with MINITAB enables students to gain a solid understanding of how to apply statistical techniques using a statistical software program. It focuses on the concepts of confidence intervals, hypothesis testing, validating model assumptions, and power analysis. Illustrates the techniques and methods using MINITAB After introducing some common terminology, the author explains how to create simple graphs using MINITAB and how to calculate descriptive statistics using both traditional hand computations and MINITAB. She then delves into statistical inference topics, such as confidence intervals and hypothesis testing, as well as linear regression, including the Ryan–Joiner test. Moving on to multiple regression analysis, the text addresses ANOVA, the issue of multicollinearity, assessing outliers, and more. It also provides a conceptual introduction to basic experimental design and one-way ANOVA. The final chapter discusses two-way ANOVA, nonparametric analyses, and time series analysis. Establishes a foundation for studying more complex topics Ideal for students in the social sciences, this text shows how to implement basic inferential techniques in practice using MINITAB. It establishes the foundation for students to build on work in more advanced inferential statistics.