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Recent Advances on Sampling Methods and Educational Statistics, Ng


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Цена: 158380.00T
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Автор: Ng
Название:  Recent Advances on Sampling Methods and Educational Statistics
ISBN: 9783031145247
Издательство: Springer
Классификация:


ISBN-10: 3031145240
Обложка/Формат: Hardback
Страницы: 278
Вес: 0.62 кг.
Дата издания: 10.12.2022
Серия: Emerging Topics in Statistics and Biostatistics
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 34 illustrations, color; 11 illustrations, black and white; xxvi, 278 p. 45 illus., 34 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Statistics
Подзаголовок: In honor of s. lynne stokes
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This edited collection commemorates the career of Dr. S. Lynne Stokes by highlighting recent advances in her areas of research interest, emphasizing practical applications and future directions. It serves as a collective effort of leading statistical scientists who work at the cutting edge in statistical sampling. S. Lynne Stokes is Professor of Statistical Science and Director of the Data Science Institute at Southern Methodist University, and Senior Fellow at the National Institute of Statistical Sciences. She has enjoyed a distinguished research career, making fundamental contributions to a variety of fields in statistical sampling. Reflecting on Professor Stokes main areas of research, this volume is structured into three main parts: I. ranked-set sampling, judgment post-stratified sampling, and capture-recapture methods II. nonsampling errors in statistical sampling III. educational and behavioral statistics. This collection will be of interest to researchers, advanced students, and professionals in the public and private sectors who would like to learn more about latest advancements in statistical sampling, particularly those who work in educational and behavioral statistics.
Дополнительное описание: 1. Predictive modelling and judgement post-stratification.- 2. Judgment post-stratified sampling: A comparison with ranked-set sampling.- 3. Efficient sample allocation by local adjustment for unbalanced ranked-set sampling.- 4. On the versatility of capt


Discovering statistics using r

Автор: Field, Andy Miles, Jeremy Field, Zoe
Название: Discovering statistics using r
ISBN: 1446289133 ISBN-13(EAN): 9781446289136
Издательство: Sage Publications
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Цена: 63360.00 T
Наличие на складе: Поставка под заказ.
Описание: The R version of Andy Field`s hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R - a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences.

Discovering statistics using ibm spss statistics

Автор: Field, Andy
Название: Discovering statistics using ibm spss statistics
ISBN: 1526419521 ISBN-13(EAN): 9781526419521
Издательство: Sage Publications
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Цена: 28090.00 T
Наличие на складе: Есть
Описание: Unrivalled in the way it makes the teaching of statistics through the use of IBM SPSS statistics compelling and accessible to even the most anxious of students. The only statistics textbook you and your students will ever need just got better!

Advances in Longitudinal Survey Methodology

Автор: Peter Lynn
Название: Advances in Longitudinal Survey Methodology
ISBN: 1119376939 ISBN-13(EAN): 9781119376934
Издательство: Wiley
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Цена: 93930.00 T
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Описание: Advances in Longitudinal Survey Methodology

Explore an up-to-date overview of best practices in the implementation of longitudinal surveys from leading experts in the field of survey methodology

Advances in Longitudinal Survey Methodology delivers a thorough review of the most current knowledge in the implementation of longitudinal surveys. The book provides a comprehensive overview of the many advances that have been made in the field of longitudinal survey methodology over the past fifteen years, as well as extending the topic coverage of the earlier volume, "Methodology of Longitudinal Surveys", published in 2009. This new edited volume covers subjects like dependent interviewing, interviewer effects, panel conditioning, rotation group bias, measurement of cognition, and weighting.

New chapters discussing the recent shift to mixed-mode data collection and obtaining respondents' consent to data linkage add to the book's relevance to students and social scientists seeking to understand modern challenges facing data collectors today. Readers will also benefit from the inclusion of:

  • A thorough introduction to refreshment sampling for longitudinal surveys, including consideration of principles, sampling frame, sample design, questionnaire design, and frequency
  • An exploration of the collection of biomarker data in longitudinal surveys, including detailed measurements of ill health, biological pathways, and genetics in longitudinal studies
  • An examination of innovations in participant engagement and tracking in longitudinal surveys, including current practices and new evidence on internet and social media for participant engagement.
  • An invaluable source for post-graduate students, professors, and researchers in the field of survey methodology, Advances in Longitudinal Survey Methodology will also earn a place in the libraries of anyone who regularly works with or conducts longitudinal surveys and requires a one-stop reference for the latest developments and findings in the field.

    Recent Advances in Mathematical and Statistical Methods

    Автор: D. Marc Kilgour; Herb Kunze; Roman Makarov; Roderi
    Название: Recent Advances in Mathematical and Statistical Methods
    ISBN: 3030076261 ISBN-13(EAN): 9783030076269
    Издательство: Springer
    Рейтинг:
    Цена: 149060.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems.The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.

    Recent Advances in Mathematical and Statistical Methods

    Автор: D. Marc Kilgour; Herb Kunze; Roman Makarov; Roderi
    Название: Recent Advances in Mathematical and Statistical Methods
    ISBN: 3319997181 ISBN-13(EAN): 9783319997186
    Издательство: Springer
    Рейтинг:
    Цена: 139750.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: This book focuses on the recent development of methodologies and computation methods in mathematical and statistical modelling, computational science and applied mathematics. It emphasizes the development of theories and applications, and promotes interdisciplinary endeavour among mathematicians, statisticians, scientists, engineers and researchers from other disciplines. The book provides ideas, methods and tools in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology, environmental science, engineering, physics and chemistry, finance, economics and social sciences. It presents original results addressing real-world problems.The contributions are products of a highly successful meeting held in August 2017 on the main campus of Wilfrid Laurier University, in Waterloo, Canada, the International Conference on Applied Mathematics, Modeling and Computational Science (AMMCS-2017). They make this book a valuable resource for readers interested not only in a broader overview of the methods, ideas and tools in mathematical and statistical approaches, but also in how they can attain valuable insights into problems arising in other disciplines.

    Educational Measurement for Applied Researchers

    Автор: Margaret Wu; Hak Ping Tam; Tsung-Hau Jen
    Название: Educational Measurement for Applied Researchers
    ISBN: 9811098379 ISBN-13(EAN): 9789811098376
    Издательство: Springer
    Рейтинг:
    Цена: 130430.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: The book also sheds light on common misconceptions in applying measurement models, and presents an integrated approach to different measurement methods, such as contrasting CTT with IRT and multidimensional IRT models with unidimensional IRT models.

    Using R for Educational and Psychological Measurement

    Автор: Desjardins
    Название: Using R for Educational and Psychological Measurement
    ISBN: 1498770134 ISBN-13(EAN): 9781498770132
    Издательство: Taylor&Francis
    Рейтинг:
    Цена: 78590.00 T
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    Описание:

    Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R.

    The Handbook of Educational Measurement and Psychometrics Using R covers a variety of topics, including classical test theory; generalizability theory; the factor analytic approach in measurement; unidimensional, multidimensional, and explanatory item response modeling; test equating; visualizing measurement models; measurement invariance; and differential item functioning.

    This handbook is intended for undergraduate and graduate students, researchers, and practitioners as a complementary book to a theory-based introductory or advanced textbook in measurement. Practitioners and researchers who are familiar with the measurement models but need to refresh their memory and learn how to apply the measurement models in R, would find this handbook quite fulfilling. Students taking a course on measurement and psychometrics will find this handbook helpful in applying the methods they are learning in class. In addition, instructors teaching educational measurement and psychometrics will find our handbook as a useful supplement for their course.


    Advances in Latent Variables

    Автор: Maurizio Carpita; Eugenio Brentari; El Mostafa Qan
    Название: Advances in Latent Variables
    ISBN: 3319029665 ISBN-13(EAN): 9783319029665
    Издательство: Springer
    Рейтинг:
    Цена: 79190.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: The book, belonging to the series "Studies in Theoretical and Applied Statistics- Selected Papers from the Statistical Societies", presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables.

    Advances in Complex Data Modeling and Computational Methods in Statistics

    Автор: Anna Maria Paganoni; Piercesare Secchi
    Название: Advances in Complex Data Modeling and Computational Methods in Statistics
    ISBN: 3319385372 ISBN-13(EAN): 9783319385372
    Издательство: Springer
    Рейтинг:
    Цена: 65210.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data;

    Advances in Latent Variables

    Автор: Maurizio Carpita; Eugenio Brentari; El Mostafa Qan
    Название: Advances in Latent Variables
    ISBN: 3319380230 ISBN-13(EAN): 9783319380230
    Издательство: Springer
    Рейтинг:
    Цена: 79190.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: The book, belonging to the series "Studies in Theoretical and Applied Statistics- Selected Papers from the Statistical Societies", presents a peer-reviewed selection of contributions on relevant topics organized by the editors on the occasion of the SIS 2013 Statistical Conference "Advances in Latent Variables.

    Advances in Statistical Methods for the Health Sciences

    Автор: Jean-Louis Auget; N. Balakrishnan; Mounir Mesbah;
    Название: Advances in Statistical Methods for the Health Sciences
    ISBN: 0817643680 ISBN-13(EAN): 9780817643683
    Издательство: Springer
    Рейтинг:
    Цена: 158340.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание:

    Statistical methods have become an increasingly important and integral part of research in the health sciences. Many sophisticated methodologies have been developed for specific applications and problems. This self-contained comprehensive volume covers a wide range of topics pertaining to new statistical methods in the health sciences, including epidemiology, pharmacovigilance, quality of life, survival analysis, and genomics.

    The book will serve the health science community as well as practitioners, researchers, and graduate students in applied probability, statistics, and biostatistics.


    Soft Methods in Probability, Statistics and Data Analysis

    Автор: Przemyslaw Grzegorzewski; Olgierd Hryniewicz; Mari
    Название: Soft Methods in Probability, Statistics and Data Analysis
    ISBN: 3790815268 ISBN-13(EAN): 9783790815269
    Издательство: Springer
    Рейтинг:
    Цена: 81050.00 T
    Наличие на складе: Есть у поставщика Поставка под заказ.
    Описание: Bringing together experts representing different approaches used in soft probability, statistics and data analysis, this title explores "softening" approaches in classical probability in theories such as fuzzy sets rough sets, possibility belief functions and imprecise probabilities.


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