 

всего: 203 страницы (11): 1 2 3 4 5 > » Knudsen S. John Wiley & Sons; 2002; 144стр.; ISBN: 0471224901 Written for biologists without special training in data analysis and statistics, the Guide takes over where the image analysis software that accompanies DNA array equipment typically leaves off–with a file of signal intensities and fold changes compared to a control. The broad spectrum of established analysis approaches is covered, including cluster analysis, function prediction, and principal component analysis. A thorough, critical review of software programs is presented, and criteria for selecting programs are discussed. Each chapter contains a Further Reading section categorized by topic as well as a summary, and highlights numerous real examples to illustrate the key concepts. Chapter topics include:
Shapiro T.W., Davison D.B., Rust D.M. Jones and Bartlett Publishers; 1997; 454стр.; ISBN: 076370217X Book Description ...bone marrow transplantation clinicians can use this handbook for bedside use...includes information on symptom management, pretransplant evaluation, and longterm follow up. Book Info Univ. of Arizona,Tucson.Pocketsized, quick reference in outline format. Practical handbook for clinicians working with adult and pediatric bone marrow transplantation patients. Trim size: 6 x 4 inches. Rayner J.C., Best D.J. 2000; 264стр.; ISBN: 1584881615 Book Description Most texts on nonparametric techniques concentrate on location and linearlinear (correlation) tests, with less emphasis on dispersion effects and linearquadratic tests. Tests for higher moment effects are virtually ignored. Using a fresh approach, A Contingency Table Approach to Nonparametric Testing unifies and extends the popular, standard tests by linking them to tests based on models for data that can be presented in contingency tables. This approach unifies popular nonparametric statistical inference and makes the traditional, most commonly performed nonparametric analyses much more complete and informative. It also makes tied data easily handled, and almost exact Monte Carlo pvalues can be obtained. With data in contingency tables, one can then calculate a Pearsontype, chisquared statistic and its components. For univariate data, the initial tests based on these components detect mean differences between treatments. For bivariate data, they detect correlations. This approach leads to tests that detect variance, skewness, and higher moment differences between treatments with univariate data, and higher bivariate moment differences with bivariate data. Although the methods advanced in this book have their genesis in traditional nonparametrics, incorporating the power of modern computers makes the approach more complete and more valid than previously possible. The authors' unified treatment and readable style make the subject easy to follow and the techniques easily implemented, whether you are a fledgling or a seasoned researcher. To buy: Everitt B.S. 2001; 256стр.; ISBN: 1584882808 Book Description Since the first edition of this book was published, SPLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, SPLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of SPLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market. The second edition of A Handbook of Statistical Analyses Using SPlus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using SPLUS. The author explains SPLUS functions from both the Windows® and commandline perspectives and clearly demonstrates how to switch between the two. This handbook provides the perfect vehicle for introducing the exciting possibilities SPLUS, SPLUS 2000, and SPLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at To buy: Everitt B.S. CRC Press; 2001; 256стр.; ISBN: 1584882808 Review For those who...find learning by example to be efficient and effective, the book is a worthwhile investment. …useful as a way for students or applied statisticians to get up to speed quickly on using SPlus. …The book has several strengths: It is well organized and easy to read; The examples cover a broad range of standard statistical methods, and are general enough to be understood by readers from a variety of disciplines; At the same time, the examples are involved enough to provide substantive engagement with the software ...There is enough statistical background to flesh out the examples, but not so much that the emphasis on learning the software is lost.…This volume is a worthwhile investment for students or statisticians who want to improve their facility with SPlus and who learn well from examples.  The American Statistician. Judith Manola, DanaFarber Cancer InstituteThe book does a nice job working with the biggest differentiator for SPLUS … the book really works best to help persons familiar with statistical tools as they get started on analyses using SPlus. Eric R. Ziegel, Technometrics, August 2002 Book Description The second edition of this popular handbook has been fully updated to provide an outstanding introduction to the SPLUS statistical software package for the entire spectrum of users, from students to applied statisticians. The author uses both the command language approach and the graphical user interface throughout the book and includes data sets from a variety of disciplines, such as medicine, finance, sports, and epidemiology. Exercises with suggested answers and clear engaging prose from a wellestablished author/statistician make the updated Handbook of Statistical Analyses Using SPlus ideal both as a reference and for undergraduate and graduate courses in data analysis. Landau S., Everitt B.S. 2003; 368стр.; ISBN: 1584883693 Book Description SPSS. Powerful, userfriendly, and useful, particularly in psychology, sociology, psychiatry, and other social sciences. But to fully exploit its capabilities and effectively execute its wide range of procedures, users need detailed, tothepoint guidance that other resources lack. A Handbook of Statistical Analyses Using SPSS clearly and concisely describes how to conduct univariate and multivariate statistical analyses using the latest release of SPSS, version 11. Each chapter addresses a different type of analytical procedure and applies it to real data sets, primarily, though not exclusively, from the social and behavioral sciences. The authors briefly review the theoretical background of many of the techniques, but they set that material apart in boxes so that the presentation of the various analyses proceeds without interruption. Each chapter ends with exercises, some related to the data sets introduced in that chapter, others introducing additional data sets. These data sets and answers to most of the exercises are available for download at www.iop.kcl.ac.uk/iop/departments/BioComp/SPSSBook.shtml. If you're a relative newcomer to performing statistical analyses, a new user of SPSS, or a veteran on both fronts, A Handbook of Statistical Analyses Using SPSS will be a welcome addition to your library. Researchers and students alike will find this a convenient, selfcontained route to using SPSS for effective data analysis. To buy: Statistics: A Series of Textbooks and Monographs Eubank R.L. 2005; ISBN: 0824723651 From publisher: System state estimation in the presence of noise is critical for control systems, signal processing, and many other applications in a variety of fields. Developed decades ago, the Kalman filter remains an important, powerful tool for estimating the variables in a system in the presence of noise. However, when inundated with theory and vast notations, learning just how the Kalman filter works can be a daunting task. With its mathematically rigorous, "no frills" approach to the basic discretetime Kalman filter, A Kalman Filter Primer builds a thorough understanding of the inner workings and basic concepts of Kalman filter recursions from first principles. Instead of the typical Bayesian perspective, the author develops the topic via leastsquares and classical matrix methods using the Cholesky decomposition to distill the essence of the Kalman filter and reveal the motivations behind the choice of the initializing state vector. He supplies pseudocode algorithms for the various recursions, enabling code development to implement the filter in practice. The book thoroughly studies the development of modern smoothing algorithms and methods for determining initial states, along with a comprehensive development of the "diffuse" Kalman filter. Using a tiered presentation that builds on simple discussions to more complex and thorough treatments, A Kalman Filter Primer is the perfect introduction to quickly and effectively using the Kalman filter in practice. To buy: ttp://www.amazon.com/exec/obidos/ASIN/0824723651/ Feibelman P.J. AddisonWesley and Benjamin Cummings; 1994; 109стр.; ISBN: 0201626632 Book Info Offers sound advice on selecting a thesis or postdoctoral adviser, choosing among research jobs in academia, government laboratories, and industry, preparing for an employment interview, and defining a research program. DLC: Science  Vocational guidance. This text refers to an out of print or unavailable edition of this title. Harris R.J. Lawrence Erbaum Associates; 2001; 609стр.; ISBN: 0805832106 Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between howto and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computermodeling and latentvariable techniques, such as nonrecursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. From Book News, Inc. As he was looking over materials for his multivariate course, Harris (U. of New Mexico) realized that the course had outstripped the current edition of his own textbook. He decided to revise it rather than use someone else's because he finds them veering too much toward math avoidance, and not paying enough attention to emergent variables or to structural equation modeling. He has updated the 1997 second edition with new coverage of structural equation modeling and various aspects of it, new demonstrations of the properties of the various techniques, and computer applications integrated into each chapter rather than appended.Copyright © 2004 Book News, Inc., Portland, OR A Student Handbook for Writing in Biology, Third Edition Knisely, Karin A user's guide to the human genome; Nature Genetics supplement Tyra G Wolfsberg, Kris A Wetterstrand, Mark S Guyer, Francis S Collins & Andreas D Baxevanis Nature Publishing Group/Macmillan Online Publishing; 2002; pp82 The primary aim of A User’s Guide to the Human Genome is to provide the reader with an elementary handson guide for browsing and analyzing data produced by the International Human Genome Sequencing Consortium and other systematic sequencing efforts. The majority of this supplement is devoted to a series of worked examples, providing an overview of the types of data available, details on how these data can be browsed, and stepby step instructions for using many of the most commonlyused tools for sequencebased discovery. The major web portals featured throughout include the National Center for Biotechnology Information Map Viewer, the University of California, Santa Cruz Genome Browser, and the European Bioinformatics Institute’s Ensembl system, along with many others that are discussed in the individual examples. It is hoped that readers will become more familiar with these resources, allowing them to apply the strategies used in the examples to advance their own research programs. A user's guide to the human genome; Nature Genetics supplement Tyra G Wolfsberg, Kris A Wetterstrand, Mark S Guyer, Francis S Collins & Andreas D Baxevanis Nature Publishing Group/Macmillan Online Publishing; 2002; pp82 http://rapidshare.de/files/3544342/A_user_...genome.pdf.html Avdeef A. 2003; 312стр.; ISBN: 0471423653 Review “...a useful book for anyone interested in the measurement of physiochemical parameters that relate to drug permeability.”(Journal of Medicinal Chemistry, Vol. 47, No. 7) "...useful compilations of data...of use to those working in the agrochemical and environmental industries..." (Chemistry & Industry, 19 January 2004) Review “...a useful book for anyone interested in the measurement of physiochemical parameters that relate to drug permeability.”(Journal of Medicinal Chemistry, Vol. 47, No. 7) "...useful compilations of data...of use to those working in the agrochemical and environmental industries..." (Chemistry & Industry, 19 January 2004) [b] http://rapidshare.de/files/3544416/Absorpt...opment.pdf.html Geller N.L. CRC Press; 2003; 271стр.; ISBN: 0824790324 Book Description From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive twostage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection. To buy: Geller N.L. CRC Press; 2003; 271стр.; ISBN: 0824790324 Review "…recommend[ed]….written in a style that explains the methods rather than one that simply trieds to impress you with how clever the authors are." Pharmaceutical Statistics "Twenty contributions provide a wide range of experience in the discipline…well written, clear and concise...provides an excellent source of reference material...provides interesting reading with new methodology clearly explained…makes an important contribution to the field…figures, tables, examples, summaries, discussions and conclusions are well presented. I liked the useful index of clinical trials and index of abbreviations at the end of the book…examples provide for interesting reading. I recommend this book. It makes a worthwhile addition to any medical science and/or statistics library." ISCB News, December 2004 "This book provides excellent survey articles on most commonly used biostatistical tools for clinical research. The articles cover the whole range of clinical research… This book is recommended for biostatistics graduate students and practitioners. I support this recommendation." Zentralblatt MATH "This volume is a collection of 12 excellent chapters by researchers with extensive experience with research in biostatistics. The researchers are knowledgeable with both the underlying theory and the practical difficulties encountered in clinical trials research. The book is a recommended purchase for research libraries." Journal of Mathematical Psychology, Vol. 49, 2005 Book Description From aspects of early trials to complex modeling problems, Advances in Clinical Trial Biostatistics summarizes current methodologies used in the design and analysis of clinical trials. Its chapters, contributed by internationally renowned methodologists experienced in clinical trials, address topics that include Bayesian methods for phase I clinical trials, adaptive twostage clinical trials, and the design and analysis of cluster randomization trials, trials with multiple endpoints, and therapeutic equivalence trials. Other discussions explore Bayesian reporting, methods incorporating compliance in treatment evaluation, and statistical issues emerging from clinical trials in HIV infection. Balakrishnan N. CRC Press; 2003; 664стр.; ISBN: 1560329807 Book Description This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing, robust inference, regression and design and sample size methodology. The text also fully describes the applications of these new ideas to industry, ecology, biology, health, economics and management. Researchers and graduate students in mathematical analysis, as well as probability and statistics professionals in industry, will learn much from this volume. To buy: Statistics: A Series of Textbooks and Monographs Balakrishnan N. Marcel Dekker, Inc.; 2005; 128стр.; ISBN: 082474022X Book Description Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures, understanding the properties of statistical distributions is critical to developing optimal inferential methods and validating the resulting model assumptions. Advances on Models, Characterizations and Applications offers uptodate information on many recent developments in the field. Comprising fourteen selfcontained chapters contributed by internationally renowned experts, this book delineates recent developments on characterizations and other important properties of several distributions, inferential issues related to these models, and several applications of the models to realworld problems. Each chapter is rich with references for further study or more indepth information on each topic and reflects work presented at the International Conference on Advances on Characterizations, Models, and Applications held in Antalya, Turkey in December 2001. Advances on Models, Characterizations and Applications provides an updated account of important properties of statistical distributions that reflects their deep importance and broad application and is a welcome addition to the literature. To buy: Balakrishnan N. CRC Press; 2003; 560стр.; ISBN: 1560329815 Book Description At the International Indian Statistical Association Conference, held at McMaster University in Ontario, Canada, participants focused on advancements in theory and methodology of probability and statistics. This is one of two volumes containing invited papers from the meeting. The 32 chapters deal with different topics of interest, including stochastic processes and inference, distributions and characterizations, inference, Bayesian inference, selection methods, regression methods, and methods in health research. The text is ideal for applied mathematicians, statisticians, and researchers in the field. To buy: Bluhm C., Overbeck L., Wagner C. 2002; 297стр.; ISBN: 158488326X Book Description In today's increasingly competitive financial world, successful risk management, portfolio management, and financial structuring demand more than uptodate financial knowhow. They also call for quantitative expertise, including the ability to effectively apply mathematical modeling tools and techniques. An Introduction to Credit Risk Modeling supplies both the bricks and the mortar of risk management. In a gentle and concise lecturenote style, it introduces the fundamentals of credit risk management, provides a broad treatment of the related modeling theory and methods, and explores their application to credit portfolio securitization, credit risk in a trading portfolio, and credit derivatives risk. The presentation is thorough but refreshingly accessible, foregoing unnecessary technical details yet remaining mathematically precise. Whether you are a risk manager looking for a more quantitative approach to credit risk or you are planning a move from the academic arena to a career in professional credit risk management, An Introduction to Credit Risk Modeling is the book you've been looking for. It will bring you quickly up to speed with information needed to resolve the questions and quandaries encountered in practice. To buy: Chapman & Hall/CRC Texts in Statistical Science Series Dobson A.J. 2001; 240стр.; ISBN: 1584881658 Book Description Generalized linear models provide a unified theoretical and conceptual framework for many of the most commonly used statistical methods. In the ten years since publication of the first edition of this bestselling text, great strides have been made in the development of new methods and in software for generalized linear models and other closely related models. Thoroughly revised and updated, An Introduction to Generalized Linear Models, Second Edition continues to initiate intermediate students of statistics, and the many other disciplines that use statistics, in the practical use of these models and methods. The new edition incorporates many of the important developments of the last decade, including survival analysis, nominal and ordinal logistic regression, generalized estimating equations, and multilevel models. It also includes modern methods for checking model adequacy and examples from an even wider range of application. Statistics can appear to the uninitiated as a collection of unrelated tools. An Introduction to Generalized Linear Models, Second Edition illustrates how these apparently disparate methods are examples or special cases of a conceptually simple structure based on the exponential family of distribution, maximum likelihood estimation, and the principles of statistical modelling. To buy: Suzuki D.T., Lewontin R.C., Wessler S.R. 2004; 800стр.; ISBN: 0716749394 For nearly three decades, from edition to edition, An Introduction to Genetic Analysis (IGA) has evolved side by side with genetic research, providing an experimentbased introduction to fundamental concepts that reflects every major laboratory and conceptual breakthrough. With authors who are leading researchers, innovative educators, and acclaimed writers, the book has kept pace with the dramatic expansion of the field while finding better ways to help students learn how to put genetics concepts to work. Now the text that has been used by over threequarters of a million students returns in the most extensively revised new edition in the book's history, once again shaping its coverage to match current research and thinking in genetics while providing stronger pedagogical support. The edition features a new coauthor Susan R. Wessler (a member of the National Academy of Sciences), dramatic new content and art, reorganized structure, new learning tools, and stateoftheart media and supplements, making it the ideal text for preparing today's students for tomorrow's genetics. Link: http://rapidshare.de/files/3545137/An_Intr...s__8th.pdf.html 
