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Statistical Methods for QTL Mapping, Chen, Zehua


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Автор: Chen, Zehua
Название:  Statistical Methods for QTL Mapping
ISBN: 9781439868300
Издательство: Taylor&Francis
Классификация:
ISBN-10: 1439868301
Обложка/Формат: Hardback
Страницы: 308
Вес: 0.57 кг.
Дата издания: 01.11.2013
Серия: Chapman & hall/crc computational biology series
Язык: English
Иллюстрации: 19 tables, black and white; 28 illustrations, black and white
Размер: 242 x 157 x 19
Читательская аудитория: Tertiary education (us: college)
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Поставляется из: Европейский союз


Qtl mapping in crop improvement

Название: Qtl mapping in crop improvement
ISBN: 0323852432 ISBN-13(EAN): 9780323852432
Издательство: Elsevier Science
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Цена: 19370.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Let`s Learn About the Forest is an interactive oversized board book that encourages little ones to use their imaginations and power of discovery to find the different animals and items in the forest God created. As they do, they will also learn interesting facts about the different animals and their habitats.

Handbook of Computational Social Science, Volume 2

Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun
Название: Handbook of Computational Social Science, Volume 2
ISBN: 1032077700 ISBN-13(EAN): 9781032077703
Издательство: Taylor&Francis
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Цена: 8726.00 р.
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Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.

Probability Theory and Statistical Inference: Empirical Modeling with Observational Data

Автор: Aris Spanos
Название: Probability Theory and Statistical Inference: Empirical Modeling with Observational Data
ISBN: 1316636372 ISBN-13(EAN): 9781316636374
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: Doubt over the trustworthiness of published empirical results is often a result of statistical mis-specification or invalid probabilistic assumptions. This course in empirical research methods enables the specification and validation of statistical models, facilitating their informed implementation and giving rise to trustworthy evidence.

Автор: Yang, M.C.
Название: Introduction to Statistical Methods in Modern Genetics
ISBN: 0367398907 ISBN-13(EAN): 9780367398903
Издательство: Taylor&Francis
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Цена: 9798.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание:

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application.

Introduction to Statistical Methods in Modern Genetics distinguishes between the necessary and unnecessary complexity in a presentation designed for graduate-level statistics students. The author keeps derivations simple, but does so without losing the mathematical details. He also provides the required background in modern genetics for those looking forward to entering this arena. Along with some of the statistical tools important in genetics applications, students will learn:

  • How a gene is found
  • How scientists have separated the genetic and environmental aspects of a person's intelligence
  • How genetics are used in agriculture to improve crops and domestic animals
  • What a DNA fingerprint is and why there are controversies about it

    Although the author assumes students have a foundation in basic statistics, an appendix provides the necessary background beyond the elementary, including multinomial distributions, inference on frequency tables, and discriminant analysis. With clear explanations, a multitude of figures, and exercise sets in each chapter, this text forms an outstanding entrйe into the rapidly expanding world of genetic data analysis.

  • How Many Subjects?: Statistical Power Analysis in Research

    Автор: Kraemer Helena C., Blasey Christine M.
    Название: How Many Subjects?: Statistical Power Analysis in Research
    ISBN: 1483319547 ISBN-13(EAN): 9781483319544
    Издательство: Sage Publications
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    Цена: 5859.00 р.
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    Описание: Addressing a common question posed by researchers, this book introduces readers to power analysis and sample size determination and clearly illustrates why sample sizes need to be sufficiently large to give good power properties and low error rates.

    Applied Statistics Using R: A Guide for the Social Sciences

    Автор: Mehmetoglu Mehmet, Mittner Matthias
    Название: Applied Statistics Using R: A Guide for the Social Sciences
    ISBN: 1526476231 ISBN-13(EAN): 9781526476234
    Издательство: Sage Publications
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    Цена: 57245.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

    Statistical Population Genomics

    Автор: Julien Y. Dutheil
    Название: Statistical Population Genomics
    ISBN: 1071601989 ISBN-13(EAN): 9781071601983
    Издательство: Springer
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    Цена: 6986.00 р.
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    Описание: This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques.

    Автор: Silverlake, Ann
    Название: Comprehending Test Manuals
    ISBN: 1138287784 ISBN-13(EAN): 9781138287785
    Издательство: Taylor&Francis
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    Цена: 15312.00 р.
    Наличие на складе: Нет в наличии.

    Описание: Actual excerpts from published test manuals allow students to gain familiarity with the measurement concepts used in today`s tests. Thirty-nine exercises in all, with guidelines and questions that include all major topics relevant to testing, including validity, reliability, and cultural bias.

    Advanced and Multivariate Statistical Methods: Practical Application and Interpretation

    Автор: Mertler Craig A., Vannatta Rachel A., Lavenia Kristina N.
    Название: Advanced and Multivariate Statistical Methods: Practical Application and Interpretation
    ISBN: 0367497476 ISBN-13(EAN): 9780367497477
    Издательство: Taylor&Francis
    Рейтинг:
    Цена: 22202.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: Ideal for non-math majors, Advanced and Multivariate Statistical Methods teaches students to interpret, present, and write up results for each statistical technique without overemphasizing advanced math.

    Advanced Quantitative Research Methods for Urban Planners

    Автор: Ewing, Reid , Park, Keunhyun
    Название: Advanced Quantitative Research Methods for Urban Planners
    ISBN: 0367343266 ISBN-13(EAN): 9780367343262
    Издательство: Taylor&Francis
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    Цена: 6430.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies.

    Statistical inference and probability

    Автор: Macinnes, John
    Название: Statistical inference and probability
    ISBN: 1526424169 ISBN-13(EAN): 9781526424167
    Издательство: Sage Publications
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    Цена: 4275.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: Part of The SAGE Quantitative Research Kit, this concise text breaks down the complex topic of inferential statistics with accessible language and detailed examples. Covering a range of topics, it provides you with the know-how and confidence needed for a successful quantitative research journey.

    Statistical Methods in Neuropsychology

    Автор: Maroof
    Название: Statistical Methods in Neuropsychology
    ISBN: 1489988440 ISBN-13(EAN): 9781489988447
    Издательство: Springer
    Рейтинг:
    Цена: 9083.00 р.
    Наличие на складе: Есть у поставщика Поставка под заказ.

    Описание: This book brings together applied statistics and the specialized field of neuropsychology to simplify and demystify test results. It shows how to effectively translate psychometric test data into real-world clinical practice.


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