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Building Statistical Models in Python

You're reading from Building Statistical Models in Python

Product type Book

Published in Aug 2023

Publisher Packt

ISBN-13 9781804614280

Pages 420 pages

Edition 1st Edition

Languages

Concepts

Authors (3):

Huy Hoang Nguyen

Paul N Adams

Stuart J Miller

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Table of Contents (22) Chapters

Preface

Part 1:Introduction to Statistics

Chapter 1: Sampling and Generalization

Chapter 2: Distributions of Data

Chapter 3: Hypothesis Testing

Chapter 4: Parametric Tests

Chapter 5: Non-Parametric Tests

Part 2:Regression Models

Chapter 6: Simple Linear Regression

Chapter 7: Multiple Linear Regression

Part 3:Classification Models

Chapter 8: Discrete Models

Chapter 9: Discriminant Analysis

Part 4:Time Series Models

Chapter 10: Introduction to Time Series

Chapter 11: ARIMA Models

Chapter 12: Multivariate Time Series

Part 5:Survival Analysis

Chapter 13: Time-to-Event Variables – An Introduction

Chapter 14: Survival Models

Index

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References

[1] Skewness – https://www.itl.nist.gov/div898/handbook/eda/section3/eda35b.htm
[2] Kurtosis – https://www.itl.nist.gov/div898/handbook/eda/section3/eda35b.htm#:~:text=Kurtosis%20is%20a%20measure%20of,would%20be%20the%20extreme%20case.
[3] Normal Distribution – C.F. GAUSS AND THE METHOD OF LEAST SQUARES, ŚLĄSKI PRZEGLĄD STATYSTYCZNY Silesian Statistical Review, Nr 12(18), O. Sheynin, Sep. 1999

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Authors (3)

Huy Hoang Nguyen

Huy Hoang Nguyen is a Mathematician and a Data Scientist with far-ranging experience, championing advanced mathematics and strategic leadership, and applied machine learning research. He holds a Master's in Data Science and a PhD in Mathematics. His previous work was related to Partial Differential Equations, Functional Analysis and their applications in Fluid Mechanics. He transitioned from academia to the healthcare industry and has performed different Data Science projects from traditional Machine Learning to Deep Learning.

See other products by Huy Hoang Nguyen

Paul N Adams

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.

See other products by Paul N Adams

Stuart J Miller

Stuart Miller is a Machine Learning Engineer with degrees in Data Science, Electrical Engineering, and Engineering Physics. Stuart has worked at several Fortune 500 companies, including Texas Instruments and StateFarm, where he built software that utilized statistical and machine learning techniques. Stuart is currently an engineer at Toyota Connected helping to build a more modern cockpit experience for drivers using machine learning.

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