MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02547nam a2200361 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
OTLid0000399 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
MnU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20201105133323.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS |
|---|
| fixed length control field |
m o d s |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180907s2016 mnu o 0 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781946135001 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
MnU |
| Language of cataloging |
eng |
| Transcribing agency |
MnU |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA1 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA37.3 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Lilja, David J. |
| Relator term |
author |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Linear Regression Using R |
| Remainder of title |
An Introduction to Data Modeling |
| Statement of responsibility, etc. |
David Lilja |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
Open Textbook Library |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Name of producer, publisher, distributor, manufacturer |
University of Minnesota Libraries Publishing |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Open textbook library. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
1 Introduction -- 1.1 What is a Linear Regression Model? -- 1.2 What is R? -- 1.3 What's Next? -- 2 Understand Your Data -- 2.1 Missing Values -- 2.2 Sanity Checking and Data Cleaning -- 2.3 The Example Data -- 2.4 Data Frames -- 2.5 Accessing a Data Frame -- 3 One-Factor Regression -- 3.1 Visualize the Data -- 3.2 The Linear Model Function -- 3.3 Evaluating the Quality of the Model -- 3.4 Residual Analysis -- 4 Multi-factor Regression -- 4.1 Visualizing the Relationships in the Data -- 4.2 Identifying Potential Predictors -- 4.3 The Backward Elimination Process -- 4.4 An Example of the Backward Elimination Process -- 4.5 Residual Analysis -- 4.6 When Things Go Wrong -- 5 Predicting Responses -- 5.1 Data Splitting for Training and Testing -- 5.2 Training and Testing -- 5.3 Predicting Across Data Sets -- 6 Reading Data into the R Environment -- 6.1 Reading CSV files -- 7 Summary8 A Few Things to Try NextBibliographyIndex |
| 520 0# - SUMMARY, ETC. |
|---|
| Summary, etc. |
Linear Regression Using R: An Introduction to Data Modeling presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models. Key modeling and programming concepts are intuitively described using the R programming language. All of the necessary resources are freely available online. |
| 542 1# - INFORMATION RELATING TO COPYRIGHT STATUS |
|---|
| Copyright statement |
Attribution-NonCommercial |
| 546 ## - LANGUAGE NOTE |
|---|
| Language note |
In English. |
| 588 0# - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on online resource |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Mathematics |
| Form subdivision |
Textbooks |
| 710 2# - ADDED ENTRY--CORPORATE NAME |
|---|
| Corporate name or jurisdiction name as entry element |
Open Textbook Library |
| Relator term |
distributor |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://open.umn.edu/opentextbooks/textbooks/399">https://open.umn.edu/opentextbooks/textbooks/399</a> |
| Public note |
Access online version |
