Описание: This book is the first to provide a unified treatment, made possible by discoveries largely due to the author, of the two aspects of statistical optics: coherence theory, and the phenomenon of polarization. It will be of great interest to graduate students and researchers in physics and engineering.
Описание: This book provides an in-depth and self-contained treatment of the latest advances achieved in quantitative spectroscopic analyses of the observable outer layers of stars and similar objects. Written by two leading researchers in the field, it presents a comprehensive account of both the physical foundations and numerical methods of such analyses.
Описание: This series provides fun and accessible careers information for young people choosing what to study post-14. Each title offers a behind-the-scenes tour of a high-interest job typically entered through a vocational route. Snappy, easy-to-digest information and real case studies are supported by a comprehesive guide to training and entry routes.
Описание: This book provides a comprehensive set of instructions and examples of how to perform a cost-benefit analysis (CBA) of a health intervention, with a particular focus on the use of stated preference survey methods to identify consumer preference data and the use of recent developments in cost-effectiveness analysis within a CBA framework.
Описание: The purpose of economic evaluation is to inform decisions intended to improve healthcare. The new edition of Methods for the Economic Evaluation of Health Care Programmes equips the reader with the essential hands-on experience to undertake evaluations, providing a `tool kit` based on the authors own experience of undertaking economic evaluations.
Автор: Becketti Название: Introduction to Time Series Using Stata ISBN: 1597181323 ISBN-13(EAN): 9781597181327 Издательство: Taylor&Francis Рейтинг: Цена: 10743 р. Наличие на складе: Невозможна поставка.
Описание: Recent decades have witnessed explosive growth in new and powerful tools for timeseries analysis. These innovations have overturned older approaches to forecasting, macroeconomic policy analysis, the study of productivity and long-run economic growth, and the trading of financial assets. Familiarity with these new tools on time series is an essential skill for statisticians, econometricians, and applied researchers. Introduction to Time Series Using Stata provides a step-by-step guide to essential timeseries techniques—from the incredibly simple to the quite complex—and, at the same time, demonstrates how these techniques can be applied in the Stata statistical package. The emphasis is on an understanding of the intuition underlying theoretical innovations and an ability to apply them. Real-world examples illustrate the application of each concept as it is introduced, and care is taken to highlight the pitfalls, as well as the power, of each new tool. Sean Becketti is a financial industry veteran with three decades of experience in academics, government, and private industry. Over the last two decades, Becketti has led proprietary research teams at several leading financial firms, responsible for the models underlying the valuation, hedging, and relative value analysis of some of the largest fixed-income portfolios in the world.
Описание: Updated to conform to Mathematica (R) 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on
Автор: Plichta Название: Munros Statistical methods health care 6E ISBN: 1451187947 ISBN-13(EAN): 9781451187946 Издательство: Lippincott Williams & Wilkins Рейтинг: Цена: 13042 р. Наличие на складе: Поставка под заказ.
Описание: This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on the most current and frequently used statistical methods in today's health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course. Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the concepts of this often intimidating area of study.
Integrating a contemporary approach to econometrics with the powerful computational tools offered by Stata, An Introduction to Modern Econometrics Using Stata focuses on the role of method-of-moments estimators, hypothesis testing, and specification analysis and provides practical examples that show how the theories are applied to real data sets using Stata.
As an expert in Stata, the author successfully guides readers from the basic elements of Stata to the core econometric topics. He first describes the fundamental components needed to effectively use Stata. The book then covers the multiple linear regression model, linear and nonlinear Wald tests, constrained least-squares estimation, Lagrange multiplier tests, and hypothesis testing of nonnested models. Subsequent chapters center on the consequences of failures of the linear regression model's assumptions. The book also examines indicator variables, interaction effects, weak instruments, underidentification, and generalized method-of-moments estimation. The final chapters introduce panel-data analysis and discrete- and limited-dependent variables and the two appendices discuss how to import data into Stata and Stata programming. Presenting many of the econometric theories used in modern empirical research, this introduction illustrates how to apply these concepts using Stata. The book serves both as a supplementary text for undergraduate and graduate students and as a clear guide for economists and financial analysts.
Автор: Nadeau Jay Название: Introduction to experimental biophysics ISBN: 1439829535 ISBN-13(EAN): 9781439829530 Издательство: Taylor&Francis Рейтинг: Цена: 9146 р. Наличие на складе: Поставка под заказ.
Описание: Increasing numbers of physicists, chemists, and mathematicians are moving into biology, reading literature across disciplines, and mastering novel biochemical concepts. To succeed in this transition, researchers must understand on a practical level what is experimentally feasible. The number of experimental techniques in biology is vast and often specific to particular subject areas; nonetheless, there are a few basic methods that provide a conceptual underpinning for broad application. Introduction to Experimental Biophysics is the ideal benchtop companion for physical scientists interested in getting their hands wet. Assuming familiarity with basic physics and the scientific method but no previous background in biology or chemistry, this book provides: * A thorough description of modern experimental and analytical techniques used in biological and biophysical research * Practical information and step-by-step guidance on instrumentation and experimental design * Recipes for common solutions and media, lists of important reagents, and a glossary of biological terms used Developed for graduate students in biomedical engineering, physics, chemical engineering, chemistry, mathematics, and computer science, Introduction to Experimental Biophysics is an essential resource for scientists to overcoming conceptual and technical barriers to working in a biology wet lab.
Автор: Kohler Название: Data Analysis Using Stata, Third Edition ISBN: 1597181102 ISBN-13(EAN): 9781597181105 Издательство: Taylor&Francis Рейтинг: Цена: 10598 р. Наличие на складе: Невозможна поставка.
Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.
Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
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