• Title Advances in Statistical Methodologies and Their Application to Real Problems
• Author(s) Tsukasa Hokimoto
• Publisher: InTech (April 26, 2017)
• License(s): Attribution 3.0 Unported (CC BY 3.0)
• Hardcover/Paperback 324 pages
• eBook PDF files
• Language: English
• ISBN-10: N/A
• ISBN-13: 978-9535131021 (Print ISBN 978-9535131014)
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Book Description

In recent years, statistical techniques and methods for data analysis have advanced significantly in a wide range of research areas. These developments enable researchers to analyze increasingly large datasets with more flexibility and also more accurately estimate and evaluate the phenomena they study. We recognize the value of recent advances in data analysis techniques in many different research fields. However, we also note that awareness of these different statistical and probabilistic approaches may vary, owing to differences in the datasets typical of different research fields.

This book provides a cross-disciplinary forum for exploring the variety of new data analysis techniques emerging from different fields.

• Tsukasa Hokimoto is an associate professor of Statistical Science and Data Science at Hokkaido Information University, Japan.

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• Statistics, Mathematical Statistics, and SAS Programming
• Applied Mathematics
• Probability and Stochastic Process
• Data Analysis and Data Mining

• Advances in Statistical Methodologies and Their Application to Real Problems (Tsukasa Hokimoto)
• PDF Format

• Introduction to the Theory of Statistics (Alexander M. Mood, et al)
• Lectures on Probability Theory and Mathematical Statistics
• Statistical Spectral Analysis: A Non-Probabilistic Theory