You're reading from Building Statistical Models in Python

Product typeBook

Published inAug 2023

Reading LevelIntermediate

PublisherPackt

ISBN-139781804614280

Edition1st Edition

Languages

Python

Concepts

Statistics

Authors (3):

Huy Hoang Nguyen

Paul N Adams

Stuart J Miller

View More author details

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

accumulated hazard function 369

Aikake Information Criterion (AIC) 278

alternative hypothesis 62

Anaconda 4

URL 4

Anderson-Darling test 91-96

ANOVA tests 117, 118

versus pairwise tests 117

ARIMA models 296-299

fitting 299-302

forecasting with 302, 303

AR(p) end-to-end example 277

building 280, 281

forecast, building 283

forecast, testing 281, 282

order of AR(p), selecting 278, 279

visual inspection 277

autocorrelation 253-257

structure 253

autocorrelation function (ACF) 165, 322

autoregressive 98

autoregressive (AR) models

AR(1) model 273-275

AR(2) model 275, 276

AR(p) end-to-end example 277

AR(p) model 272

order p, identifying using PACF 276

autoregressive integrated moving average (ARIMA) 252, 323

autoregressive...

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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.
Read more about 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.
Read more about 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.
Read more about Stuart J Miller

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