Basic Experimental Strategies and Data Analysis for Science and Engineering, Lawson John, Erjavec John
Автор: Hamilton, James Название: Time Series Analysis ISBN: 0691042896 ISBN-13(EAN): 9780691042893 Издательство: Wiley Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.
Автор: Little Название: Statistical Analysis with Missing Data, Third Edit ion ISBN: 0470526793 ISBN-13(EAN): 9780470526798 Издательство: Wiley Рейтинг: Цена: 12664.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.
Описание: This volume contains 11 papers on optimum designs for linear and non-linear models and groups of papers on designs for quality improvement, designs in agriculture and for model building. Non-design problems include robustness in linear models and estimation problems in non-linear models.
Автор: Michael C. Whitlock, Dolph Schluter Название: The Analysis of Biological Data ISBN: 1319325343 ISBN-13(EAN): 9781319325343 Издательство: Macmillan Learning Рейтинг: Цена: 13858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.
Описание: The collection and analysis of data play an important role in many fields of science and technology, such as computational biology, quantitative finance, information engineering, machine learning, neuroscience, medicine, and the social sciences.
Автор: Robert G. Easterling Название: Fundamentals of Statistical Experimental Design and Analysis ISBN: 1118954637 ISBN-13(EAN): 9781118954638 Издательство: Wiley Рейтинг: Цена: 9654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Professionals in all areas business; government; the physical, life, and social sciences; engineering; medicine, etc. benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for.
Автор: Thomas Bartz-Beielstein; Marco Chiarandini; Lu?s P Название: Experimental Methods for the Analysis of Optimization Algorithms ISBN: 364244590X ISBN-13(EAN): 9783642445903 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: With contributions from leaders in the field, this volume assesses the main issues in the experimental analysis of algorithms, examines their developmental cycle, and demonstrates how to configure and tune algorithms with advanced experimental techniques.
Автор: David Makowski; Fran?ois Piraux; Fran?ois Brun Название: From Experimental Network to Meta-analysis ISBN: 9402416951 ISBN-13(EAN): 9789402416954 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Нет в наличии.
Описание: This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.
Автор: Brook, Richard J. , Arnold, Gregory C. Название: Applied Regression Analysis and Experimental Design ISBN: 0367403412 ISBN-13(EAN): 9780367403416 Издательство: Taylor&Francis Рейтинг: Цена: 9798.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Designed to make theory work for students, this clearly written, easy-to-understand work serves as the ideal texts for courses Regression, Experimental Design, and Linear Models in a broad range of disciplines. Moreover, applied statisticians will find the book a useful reference for the general application of the linear model.
Автор: Khan Shahjahan Название: Meta-Analysis: Methods for Health and Experimental Studies ISBN: 9811550344 ISBN-13(EAN): 9789811550348 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Chapter 1. Introduction to meta-analysis.- Chapter 2. Ratio measures.- Chapter 3. One proportion.- Chapter 4. Risk difference (Two proportions).- Chapter 5. Weighted mean difference.- Chapter 6. Standardized mean difference.- Chapter 7. Correlation coefficient.- Chapter 8. Meta-regression.- Chapter 9. Network meta-analysis.- Chapter 10. Publication bias.
Автор: Eric J. Beh,Rosaria Lombardo Название: Correspondence Analysis: Theory, Practice and New Strategies ISBN: 1119953243 ISBN-13(EAN): 9781119953241 Издательство: Wiley Рейтинг: Цена: 11872.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A comprehensive overview of the internationalisation of correspondence analysis Correspondence Analysis: Theory, Practice and New Strategies examines the key issues of correspondence analysis, and discusses the new advances that have been made over the last 20 years.
Автор: Kaloyerou, Panayiotis Nicos Название: Basic concepts of data and error analysis ISBN: 3319958755 ISBN-13(EAN): 9783319958750 Издательство: Springer Рейтинг: Цена: 5309.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This introductory textbook explains the concepts and methods of data and error analysis needed for laboratory experiment write-ups, especially physics and engineering experiments. The book contains the material needed for beginning students, e.g., first year university students, college students (enrolled on a certificate or diploma course) and even A-level students. Nevertheless, it also covers the required material for higher year university laboratories, including the final year. Only essential concepts and methods needed for the day-to-day performance of experiments and their subsequent analysis and presentation are included and, at the same time, presented as simply as possible. Non-essential detail is avoided. Chapter five is a stand-alone introduction to probability and statistics aimed at providing a theoretical background to the data and error analysis chapters one to four. Computer methods are introduced in Chapter six. The author hopes this book will serve as a constant reference.
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