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Top Series in United States

Showing 1 - 12 of 12 results for “john dean chen”
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  • Monte-Carlo Simulation-Based Statistical Modeling

    Edited by John Dean Chen, Ding-Geng (Din) Chen ...
    Series series ICSA Book Series in Statistics
    This book brings together expert researchers engaged in Monte-Carlo simulation-based statistical modeling, offering them a forum to present and discuss recent issues in methodological development as well as public health applications. It is divided into three parts, with the first providing an overview of Monte-Carlo techniques, the second focusing on missing data Monte-Carlo methods, and the ... Read more

    $116.99 USD

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  • Statistics Explained

    An Introductory Guide for Life Scientists

    by Steve McKillup ...
    An understanding of statistics and experimental design is essential for life science studies, but many students lack a mathematical background and some even dread taking an introductory statistics course. Using a refreshingly clear and encouraging reader-friendly approach, this book helps students understand how to choose, carry out, interpret and report the results of complex statistical analyses ... Read more

    $43.49 USD

  • Statistics in Food Science and Nutrition

    by Are Hugo Pripp ...
    Series series Chemistry and Material Science (R0)
    Many statistical innovations are linked to applications in food science. For example, the student t-test (a statistical method) was developed to monitor the quality of stout at the Guinness Brewery and multivariate statistical methods are applied widely in the spectroscopic analysis of foods. Nevertheless, statistical methods are most often associated with engineering, mathematics, and the medical ... Read more

    $62.99 USD

  • Introduction to Nonparametric Statistics for the Biological Sciences Using R

    by Thomas W. MacFarland, Jan M. Yates ...
    Series series Mathematics and Statistics (R0)
    This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:To introduce when nonparametric approaches to data analysis are appropriateTo introduce the leading nonparametric tests commonly used in biostatistics and how R is ... Read more

    $62.99 USD

  • An Introduction to Statistics with Python

    With Applications in the Life Sciences

    by Thomas Haslwanter ...
    Series series Mathematics and Statistics (R0)
    This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian statistics. Working code and data for Python solutions for each test, together with easy-to-follow Python examples, can be ... Read more

    $49.49 USD

  • Modern Infectious Disease Epidemiology

    Concepts, Methods, Mathematical Models, and Public Health

    Edited by Alexander Krämer, Mirjam Kretzschmar, Klaus Krickeberg ...
    Series series Mathematics and Statistics (R0)
    Hardly a day goes by without news headlines concerning infectious disease threats. Currently the spectre of a pandemic of influenza A|H1N1 is raising its head, and heated debates are taking place about the pro’s and con’s of vaccinating young girls against human papilloma virus. For an evidence-based and responsible communication of infectious disease topics to avoid misunderstandings and ... Read more

    $134.09 USD

  • Excel 2013 for Environmental Sciences Statistics

    A Guide to Solving Practical Problems

    by Thomas J. Quirk, Meghan Quirk, Howard F. Horton ...
    Series series Mathematics and Statistics (R0)
    This is the first book to show the capabilities of Microsoft Excel to teach environmentall sciences statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical environmental science problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of ... Read more

    $49.49 USD

  • Modeling Binary Correlated Responses using SAS, SPSS and R

    by Jeffrey R. Wilson, Kent A. Lorenz ...
    Series series Mathematics and Statistics (R0)
    Statistical tools to analyze correlated binary data are spread out in the existing literature. This book makes these tools accessible to practitioners in a single volume. Chapters cover recently developed statistical tools and statistical packages that are tailored to analyzing correlated binary data. The authors showcase both traditional and new methods for application to health-related research. ... Read more

    $49.49 USD

  • New Developments in Statistical Modeling, Inference and Application

    Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR

    Edited by Zhezhen Jin, Mengling Liu, Xiaolong Luo ...
    Series series Springer Nature Proceedings excluding Computer Science
    The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking ... Read more

    $143.09 USD

  • Integrating Omics Data

    by Debashis Ghosh, Xianghong Jasmine Zhou, George Tseng ...
    In most modern biomedical research projects, application of high-throughput genomic, proteomic, and transcriptomic experiments has gradually become an inevitable component. Popular technologies include microarray, next generation sequencing, mass spectrometry and proteomics assays. As the technologies have become mature and the price affordable, omics data are rapidly generated, and the problem of ... Read more

    $115.69 USD

  • Statistical Causal Inferences and Their Applications in Public Health Research

    Edited by Hua He, Pan Wu, Ding-Geng (Din) Chen ...
    Series series ICSA Book Series in Statistics
    This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present ... Read more

    $89.99 USD

  • Sample Size Determination in Clinical Trials with Multiple Endpoints

    by Takashi Sozu, Tomoyuki Sugimoto, Toshimitsu Hamasaki, Scott R. Evans ...
    Series series Mathematics and Statistics (R0)
    This book integrates recent methodological developments for calculating the sample size and power in trials with more than one endpoint considered as multiple primary or co-primary, offering an important reference work for statisticians working in this area.The determination of sample size and the evaluation of power are fundamental and critical elements in the design of clinical trials. If the ... Read more

    $71.99 USD