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Группа авторов 5th Warsaw School of Statistical Physics

Группа авторов 6th Warsaw School of Statistical Physics

Группа авторов Handbook of Statistical Genomics

Группа авторов Biophysical and Structural Aspects of Bioenergetics

Группа авторов Psychological Aspects of Women's Health Care

Группа авторов Aspects of Ancient Greek Cult

Группа авторов Nutritional Aspects of Bone Health

Группа авторов Modern Aspects of Emulsion Science

Группа авторов Chemical Aspects of Drug Delivery Systems

Группа авторов Education of Tomorrow. Since education in family to system aspects of education

Группа авторов Computation for the Analysis of Designed Experiments


Addresses the statistical, mathematical, and computational aspects of the construction of packages and analysis of variance (ANOVA) programs. Includes a disk at the back of the book that contains all program codes in four languages, APL, BASIC, C, and FORTRAN. Presents illustrations of the dual space geometry for all designs, including confounded designs.

22482.94 RUR

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Группа авторов Dynamic capabilities and their strategic dimension. Aspects of imitation and innovation

Группа авторов Aspects of Royal Power in Medieval Scandinavia

Группа авторов Aspects of Statistical Inference


Relevant, concrete, and thorough–the essential data-based text on statistical inference The ability to formulate abstract concepts and draw conclusions from data is fundamental to mastering statistics. Aspects of Statistical Inference equips advanced undergraduate and graduate students with a comprehensive grounding in statistical inference, including nonstandard topics such as robustness, randomization, and finite population inference. A. H. Welsh goes beyond the standard texts and expertly synthesizes broad, critical theory with concrete data and relevant topics. The text follows a historical framework, uses real-data sets and statistical graphics, and treats multiparameter problems, yet is ultimately about the concepts themselves. Written with clarity and depth, Aspects of Statistical Inference: * Provides a theoretical and historical grounding in statistical inference that considers Bayesian, fiducial, likelihood, and frequentist approaches * Illustrates methods with real-data sets on diabetic retinopathy, the pharmacological effects of caffeine, stellar velocity, and industrial experiments * Considers multiparameter problems * Develops large sample approximations and shows how to use them * Presents the philosophy and application of robustness theory * Highlights the central role of randomization in statistics * Uses simple proofs to illuminate foundational concepts * Contains an appendix of useful facts concerning expansions, matrices, integrals, and distribution theory Here is the ultimate data-based text for comparing and presenting the latest approaches to statistical inference.

18175.86 RUR

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Группа авторов Simulation and the Monte Carlo Method


This book provides the first simultaneous coverage of the statistical aspects of simulation and Monte Carlo methods, their commonalities and their differences for the solution of a wide spectrum of engineering and scientific problems. It contains standard material usually considered in Monte Carlo simulation as well as new material such as variance reduction techniques, regenerative simulation, and Monte Carlo optimization.

17142.16 RUR

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Группа авторов Direction Dependence in Statistical Modeling

Группа авторов Information and Exponential Families


First published by Wiley in 1978, this book is being re-issued with a new Preface by the author. The roots of the book lie in the writings of RA Fisher both as concerns results and the general stance to statistical science, and this stance was the determining factor in the author's selection of topics. His treatise brings together results on aspects of statistical information, notably concerning likelihood functions, plausibility functions, ancillarity, and sufficiency, and on exponential families of probability distributions.

8011.16 RUR

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Группа авторов Causality


A state of the art volume on statistical causality Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use, methods for applying them to specific problems, and the special requirements of a range of examples from medicine, biology and economics to political science. This book: Provides a clear account and comparison of formal languages, concepts and models for statistical causality. Addresses examples from medicine, biology, economics and political science to aid the reader's understanding. Is authored by leading experts in their field. Is written in an accessible style. Postgraduates, professional statisticians and researchers in academia and industry will benefit from this book.

7290.12 RUR

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Группа авторов Nanoscience and Nanotechnology


This comprehensive book covers various aspects of nanoscience and nanotechnology and what is known about the potential environmental and health impacts. Divided into three main sections, the book addresses the toxicity of nanomaterials, fate and transport of nanomaterials in the environment, and occupational health aspects of nanotechonology.

12662.8 RUR

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Группа авторов Statistical Thinking for Non-Statisticians in Drug Regulation


Written by a well-known lecturer and consultant to the pharmaceutical industry, this book focuses on the pharmaceutical non-statistician working within a very strict regulatory environment. Statistical Thinking for Clinical Trials in Drug Regulation presents the concepts and statistical thinking behind medical studies with a direct connection to the regulatory environment so that readers can be clear where the statistical methodology fits in with industry requirements. Pharmaceutical-related examples are used throughout to set the information in context. As a result, this book provides a detailed overview of the statistical aspects of the design, conduct, analysis and presentation of data from clinical trials within drug regulation. Statistical Thinking for Clinical Trials in Drug Regulation: Assists pharmaceutical personnel in communicating effectively with statisticians using statistical language Improves the ability to read and understand statistical methodology in papers and reports and to critically appraise that methodology Helps to understand the statistical aspects of the regulatory framework better quoting extensively from regulatory guidelines issued by the EMEA (European Medicines Evaluation Agency), ICH (International Committee on Harmonization and the FDA (Food and Drug Administration)

8614.15 RUR

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