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Springer Ten Projects in Applied Statistics Textbook

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Description

Ten Projects in Applied Statistics from the Springer Series in Statistics provides a practical approach to solving real-world statistical problems. The first half of this book is specifically designed for quantitative research workers in fields such as biology, medicine, ecology, and genetics. As a whole, it serves as a valuable resource for graduate students in statistics, biostatistics, and other quantitative disciplines. Through ten detailed examples, the author demonstrates how to approach complex problems with a principled method that allows for flexibility and adequate compromise. A recurring theme throughout the text is the need to accommodate correlations associated with space, time, and other relationships. To address these needs, variance-components models feature prominently in the discussions. This book also uses specific examples to illustrate common statistical pitfalls, making it an essential tool for anyone working with complex data sets.

Key Features

This Springer Series in Statistics book provides ten detailed examples of how to approach real-world statistical problems using a principled method.

The text is designed to assist quantitative research workers in the fields of biology, medicine, ecology, and genetics.

Graduate students in statistics, biostatistics, and other quantitative disciplines can use this book to learn about statistical flexibility.

Variance-components models are featured prominently to help readers manage correlations related to space, time, and other relationships.

The author uses specific examples to illustrate common statistical pitfalls encountered in quantitative research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 February 2023
Listed Since
07 July 2022

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