資料分析、迴歸與預測
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資料分析、迴歸與預測

by David E. Bell & Arthur Schleifer Jr.

statistics data analysis Predictive Modeling
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This book introduces key concepts in data analysis, regression, and prediction. It guides readers through statistical methods to analyze data, model relationships, and make forecasts. Authored by David E. Bell and Arthur Schleifer Jr., it serves as an essential resource for building analytical proficiency in professional and academic settings.

About This Book

This book delves into the fundamentals of data analysis, providing a structured approach to interpreting datasets and deriving meaningful insights.

Regression analysis is covered in detail, explaining how to model relationships between variables to understand influences and trends.

Predictive techniques are explored, offering tools to forecast outcomes based on historical data patterns.

Written by experts David E. Bell and Arthur Schleifer Jr., it emphasizes practical applications in various fields.

Readers will gain skills applicable to business, economics, and beyond through clear explanations and examples.

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I will be using this book for: