Statistical Methods for Experimental Research in Education and Psychology, Jimmie Leppink
Автор: Trevor Hastie; Robert Tibshirani; Jerome Friedman Название: The Elements of Statistical Learning ISBN: 0387848576 ISBN-13(EAN): 9780387848570 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data in our rapidly expanding computerized world.
Автор: Ulibarri, Nicola (university Of California, Irvine Название: Creativity in research ISBN: 1108706118 ISBN-13(EAN): 9781108706117 Издательство: Cambridge Academ Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides concrete guidance for researchers and students to understand creativity`s role in their work and manage their creative process. Based on a curriculum developed at Stanford University, the book presents key creative research skills through a combination of scientific literature, experiential exercises, and guided reflection.
Описание: The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fifth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.
Автор: Cohen Louis Название: Research Methods in Education, 8 ed. ISBN: 1138209880 ISBN-13(EAN): 9781138209886 Издательство: Taylor&Francis Рейтинг: Цена: 5858.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This rewritten, expanded and updated 8th edition of the long-running bestseller Research Methods in Education is the most comprehensive and accessible introductory text in the field. Thoroughly updated with nine new chapters, this new edition offers rich practical advice underpinned by clear, theoretical foundations.
Название: Statistical methods in experimental physics (2nd edition) ISBN: 9812705279 ISBN-13(EAN): 9789812705273 Издательство: World Scientific Publishing Рейтинг: Цена: 5069.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A reference for physicists desiring to master the finer points of statistical data analysis. It contains material, especially in areas concerning the theory and practice of confidence intervals, including the important Feldman-Cousins method. It also presents both frequentist and Bayesian methodologies.
Описание: Flora provides a comprehensive survey of the major statistical procedures, along with an innovative model-based approach, teaching researchers how to understand and choose the best model to fit their data.
Описание: With a new discussion on the philosophy of science and an expanded focus on research ethics and sampling, this second edition continues to give readers an interdisciplinary account of the logic of social science research
Автор: Ulibarri, Nicola (university Of California, Irvine) Cravens, Amanda E. Svetina Nabergoj, Anja (university Of Ljubljana) Kernbach, Sebastian Royalty, A Название: Creativity in research ISBN: 1108484220 ISBN-13(EAN): 9781108484220 Издательство: Cambridge Academ Рейтинг: Цена: 14573.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides concrete guidance for researchers and students to understand creativity`s role in their work and manage their creative process. Based on a curriculum developed at Stanford University, the book presents key creative research skills through a combination of scientific literature, experiential exercises, and guided reflection.
Автор: Thomas G Название: How to Do Your Research Project: Third Edition ISBN: 1473948878 ISBN-13(EAN): 9781473948877 Издательство: Sage Publications Рейтинг: Цена: 4117.00 р. Наличие на складе: Поставка под заказ.
Описание: ITAMOrg(R) IT Hardware Asset Management Certifications is suitable for individuals wanting to demonstrate they have achieved sufficient understanding of how to apply and tailor the Hardware Asset Management practices. Hardware Asset Management (HAM) is important for every organization. Management and control of hardware influences the risk on most asset types such as Software, Cloud & Services and People and Information assets. E.g., if you are not in control of what hardware is in use it is not possible for you to control your software which will result in software license in-compliance and other risks.The Hardware Asset Management Specialist Certification brings participants IT Service Management best practices together with Hardware Asset Management best practices. This will help an organization to implement Hardware Asset Management lifecycle processes and showing how IT Service Management can support HAM lifecycles to be in control and support the other Asset types.The purpose of the ITAMOrg Hardware Asset Management Specialist (HAMS) course and certification is to provide knowledge on best practices and use of Hardware Asset Management (HAM) in the challenges that Hardware Asset Managers face on a daily basis. This certification is based on a practical approach to strengthen the participants understanding of how ISO 55000 and IT Service Management best practice relates to everyday use of HAM, Hardware standards, Hardware lifecycle control, control of retirement and disposal and organizational issues that saturates many businesses in today`s digital world.This Courseware is suited for the ITAMOrg(R) 2020 HAM exam. There is also a sample exam added of the ITAMOrg(R) 2020 Hardware Asset Management in case the participant prefers to refresh its knowledge. The Exam is delivered in English.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
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