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Statistics Vol 3: Categorical and Time Dependent Data Analysis

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Description

Statistics plays a vital role in modern decision-making, from evaluating TV program ratings and predicting voting outcomes to preparing stock and forecasting sales. This volume, part of the Mathematics Research Developments series, focuses on the application of data-driven theories rather than personal experience or images. Understanding the relationship between input and output data is essential, but models are rarely perfect as they often rely on specific assumptions and approximations. This text provides the necessary mathematical framework to evaluate the effectiveness of medical treatments and other real-world data sets. By focusing on categorical and time-dependent data analysis, this book helps readers move beyond simply presenting data to truly understanding the models that drive predictions.

Key Features

This volume focuses on categorical and time dependent data analysis within the Mathematics Research Developments series.

The text addresses practical applications such as predicting sales, stock preparation, and voting outcomes.

Readers can learn to evaluate the effectiveness of medical treatments using data-driven theories.

The content explores the relationship between input and output data within various statistical models.

Published by Nova Science Publishers, Inc, this book provides depth for those studying mathematical research.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 April 2019
Listed Since
26 December 2018

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