statistical methods in computer security statistics a series of textbooks and monographs

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Statistical Methods In Computer Security

Author : William W.S. Chen
ISBN : 9781420030884
Genre : Mathematics
File Size : 83. 5 MB
Format : PDF, Kindle
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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.

Statistical Computing

Author : Kennedy
ISBN : 0824768981
Genre : Mathematics
File Size : 53. 56 MB
Format : PDF, ePub, Mobi
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Design And Analysis Of Clinical Trials

Author : Shein-Chung Chow
ISBN : 9780471473299
Genre : Mathematics
File Size : 56. 50 MB
Format : PDF, Docs
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Statistical Methods For Engineers And Scientists

Author : Robert M. Bethea
ISBN : 082477227X
Genre : Mathematics
File Size : 64. 41 MB
Format : PDF, ePub
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Statistical Methodology In The Pharmaceutical Sciences

Author : D. A. Berry
ISBN : 9781482276862
Genre : Mathematics
File Size : 81. 81 MB
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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

Statistical Modeling Techniques

Author : Samuel S. Shapiro
ISBN : UOM:39015040428040
Genre : Mathematics
File Size : 49. 97 MB
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Basic concepts of statistical models; Concepts of statistical theory; Model for measurement: continuous case; Models for measurement: discrete case; Empirical models; Testing models assumptions; Analysis of systems.

Multivariate Statistical Analysis

Author : Narayan C. Giri
ISBN : 0824793382
Genre : Mathematics
File Size : 25. 67 MB
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Vector and matrix algebra; Groups and Jacobian of some transformations; Multivariate distributions and Invariance; Properties of multivariate distributions; Estimators of parameters and their functions; Basic multivariate sampling distributions; Tests of hypotheses of mean vectors; Tests concerning covariance matrices and mean vectors; Discriminant analysis; Principal components; Canonical correlations; Factor analysis.

Statistical Analysis Of Dna Sequence Data

Author : Bruce S. Weir
ISBN : UOM:39015006003704
Genre : Science
File Size : 58. 89 MB
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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.

Introductory Statistical Inference

Author : Nitis Mukhopadhyay
ISBN : 9781420017403
Genre : Mathematics
File Size : 24. 47 MB
Format : PDF
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This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using worked examples, exercises, figures, tables, and computer simulations to develop and illustrate concepts. Drills and boxed summaries emphasize and reinforce important ideas and special techniques. Beginning with a review of the basic concepts and methods in probability theory, moments, and moment generating functions, the author moves to more intricate topics. Introductory Statistical Inference studies multivariate random variables, exponential families of distributions, and standard probability inequalities. It develops the Helmert transformation for normal distributions, introduces the notions of convergence, and spotlights the central limit theorems. Coverage highlights sampling distributions, Basu's theorem, Rao-Blackwellization and the Cramér-Rao inequality. The text also provides in-depth coverage of Lehmann-Scheffé theorems, focuses on tests of hypotheses, describes Bayesian methods and the Bayes' estimator, and develops large-sample inference. The author provides a historical context for statistics and statistical discoveries and answers to a majority of the end-of-chapter exercises. Designed primarily for a one-semester, first-year graduate course in probability and statistical inference, this text serves readers from varied backgrounds, ranging from engineering, economics, agriculture, and bioscience to finance, financial mathematics, operations and information management, and psychology.

Statistical Design Of Experiments With Engineering Applications

Author : Kamel Rekab
ISBN : 9781574446258
Genre : Mathematics
File Size : 59. 73 MB
Format : PDF, ePub, Mobi
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In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.

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