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  • Statistics with Confidence

    Confidence Intervals and Statistical Guidelines

    This highly popular introduction to confidence intervals has been thoroughly updated and expanded. It includes methods for using confidence intervals, with illustrative worked examples and extensive guidelines and checklists to help the novice. ... Leer más

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  • Applied Spatial Data Analysis with R

    Series series Mathematics and Statistics (R0)
    Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS ... Leer más

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  • Structural Equation Modeling With EQS

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    Series series Multivariate Applications Series
    Readers who want a less mathematical alternative to the EQS manual will find exactly what they're looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author's goal is to provide a non-mathematical introduction to the basic concepts of SEM by applying these principles to EQS, Version 6.1. The book clearly ... Leer más

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  • Statistics Explained

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    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 ... Leer más

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  • Epidemiology Kept Simple

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  • Nonclinical Statistics for Pharmaceutical and Biotechnology Industries

    Series series Mathematics and Statistics (R0)
    This book serves as a reference text for regulatory, industry and academic statisticians and also a handy manual for entry level Statisticians. Additionally it aims to stimulate academic interest in the field of Nonclinical Statistics and promote this as an important discipline in its own right. This text brings together for the first time in a single volume a comprehensive survey of methods ... Leer más

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  • Modern Issues and Methods in Biostatistics

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    Series series Mathematics and Statistics (R0)
    Classic biostatistics, a branch of statistical science, has as its main focus the applications of statistics in public health, the life sciences, and the pharmaceutical industry. Modern biostatistics, beyond just a simple application of statistics, is a confluence of statistics and knowledge of multiple intertwined fields. The application demands, the advancements in computer technology, and the ... Leer más

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  • New Developments in Statistical Modeling, Inference and Application

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

    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 ... Leer más

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  • Primer to Analysis of Genomic Data Using R

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    Series series Mathematics and Statistics (R0)
    Through this book, researchers and students will learn to use R for analysis of large-scale genomic data and how to create routines to automate analytical steps. The philosophy behind the book is to start with real world raw datasets and perform all the analytical steps needed to reach final results. Though theory plays an important role, this is a practical book for graduate and undergraduate ... Leer más

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  • Integrating Omics Data

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    Ecological and environmental research has increased in scope and complexity in the last few decades, from simple systems with a few managed variables to complex ecosystems with many uncontrolled variables. These issues encompass problems that are inadequately addressed using the types of carefully controlled experiments that dominate past ecological research. Contemporary challenges facing ... Leer más

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