The Design and Statistical Analysis of Animal Experiments, Bate
Автор: Bate Название: The Design and Statistical Analysis of Animal Experiments ISBN: 1107690943 ISBN-13(EAN): 9781107690943 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is the first book to provide life scientists with a practical guide to using experimental design and statistics when running animal experiments. The chapters cover a range of design types and analysis techniques employed by practitioners, using non-mathematical terms and drawing on real-life examples.
Автор: Scheiner Название: Design and Analysis of Ecological Experiments ISBN: 0195131878 ISBN-13(EAN): 9780195131871 Издательство: Oxford Academ Рейтинг: Цена: 32076.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book focuses on the design and analysis of ecological experiments, concentrating on statistical approaches. Each chapter presents a particular statistical technique or set of techniques in the context of resolving an ecological issue. This new edition eliminates some topics that have become less important to ecology, adds new chapters on the major developing issues, (power analysis, logistic regression, randomization tests, and empiral Baynesian analysis), andupdates all the presentations.
Описание: Upgraded to reflect the latest research and software applications on the topic, this new edition continues to provide a comprehensive introduction to the statistical methods for analyzing survival data.
Автор: Alfred Bartolucci, Karan P. Singh, Sejong Bae Название: Introduction to Statistical Analysis of Laboratory Data ISBN: 1118736869 ISBN-13(EAN): 9781118736869 Издательство: Wiley Рейтинг: Цена: 16466.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis
Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process
Introduces terminology used in many applications such as the interpretation of assay design and validation as well as "fit for purpose" procedures including real world examples
Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities
Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation
Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors' experience.
Taking a practical and intuitive approach, the book only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat(R) statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
By the time you reach the end of the book (and online material) you will have gained:
A clear appreciation of the importance of a statistical approach to the design of your experiments,
A sound understanding of the statistical methods used to analyse data obtained from designed experiments and of the regression approaches used to construct simple models to describe the observed response as a function of explanatory variables,
Sufficient knowledge of how to use one or more statistical packages to analyse data using the approaches described, and most importantly,
An appreciation of how to interpret the results of these statistical analyses in the context of the biological or agricultural science within which you are working.
The book concludes with a guide to practical design and data analysis. It gives you the understanding to better interact with consultant statisticians and to identify statistical approaches to add value to your scientific research.
Автор: Cowan, Glen Название: Statistical Data Analysis ISBN: 0198501552 ISBN-13(EAN): 9780198501558 Издательство: Oxford Academ Рейтинг: Цена: 7206.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and researchers who work with experimental data. The topics include probability, random variables, Monte Carlo techniques, statistical tests, parameter estimation, and unfolding methods.
Автор: Wu Название: Experiments - Planning, Analysis, and Optimization 2e ISBN: 0471699462 ISBN-13(EAN): 9780471699460 Издательство: Wiley Рейтинг: Цена: 24861.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Experimentation is one of the most common activities in which all people engage. In this thoroughly updated Second Edition, Experiments presents the most modern, up-to-date treatment in the design and analysis of experiment topics currently available.
Автор: Festing Michael Название: The Design of Experiments Involving Laboratory Animals ISBN: 1473974631 ISBN-13(EAN): 9781473974630 Издательство: Sage Publications Рейтинг: Цена: 3166.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Covers all randomised controlled experimental designs likely to be needed in laboratory animal research, with worked examples showing how they can be statistically analysed. This book covers the learning outcomes of Module 10 and part (ii) of Module 11 of education and training under Directive 2010/63/EU.
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