Regression analysis : (Record no. 36918)
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000 -LEADER | |
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fixed length control field | 03500cam a2200409 i 4500 |
001 - CONTROL NUMBER | |
control field | 20705327 |
003 - CONTROL NUMBER IDENTIFIER | |
control field | OSt |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200630152351.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
fixed length control field | ta |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 180930s2019 enk b 001 0 eng c |
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
LC control number | 2018042748 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781138541405 |
Qualifying information | (hardback ; |
-- | alk. paper) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781138541436 |
Qualifying information | (pbk. ; |
-- | alk. paper) |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
Canceled/invalid ISBN | 9781351011099 |
Qualifying information | (ebk) |
040 ## - CATALOGING SOURCE | |
Original cataloging agency | LBSOR/DLC |
Language of cataloging | eng |
Transcribing agency | HNU |
Description conventions | rda |
Modifying agency | DLC |
042 ## - AUTHENTICATION CODE | |
Authentication code | pcc |
050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
Classification number | HA31.3 |
Item number | .A43 2019 |
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.536 Ar48 2019 |
Edition number | 23 |
Placement Code | GC |
100 1# - MAIN ENTRY--PERSONAL NAME | |
Personal name | Arkes, Jeremy, |
Relator term | author. |
245 10 - TITLE STATEMENT | |
Title | Regression analysis : |
Remainder of title | a practical introduction / |
Statement of responsibility, etc. | Jeremy Arkes. |
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
Place of production, publication, distribution, manufacture | London, England, UK ; |
-- | New York, NY, USA : |
Name of producer, publisher, distributor, manufacturer | Routledge, Taylor & Francis Group, |
Date of production, publication, distribution, manufacture, or copyright notice | ©2019. |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xx, 342 pages : |
Other physical details | illustrations ; |
Dimensions | 25 cm |
336 ## - CONTENT TYPE | |
Content type term | text |
Source | rdacontent |
337 ## - MEDIA TYPE | |
Media type term | unmediated |
Source | rdamedia |
338 ## - CARRIER TYPE | |
Carrier type term | volume |
Source | rdacarrier |
504 ## - BIBLIOGRAPHY, ETC. NOTE | |
Bibliography, etc. note | Includes bibliographical references and index. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Introduction --<br/>The basics --<br/>Essential tools for regression analysis --<br/>What does "holding other factors constant" mean? --<br/>Standard errors, hypothesis tests, p-values, and aliens --<br/>What could go wrong? --<br/>Strategies for other regression objectives --<br/>Methods to address biases from non-random explanatory variables --<br/>Other methods besides ordinary least squares --<br/>Time-series models --<br/>Some really interesting research --<br/>How to conduct a research project --<br/>Summarizing thoughts. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | "With the rise of "big data", there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognise the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!"-- |
Assigning source | Provided by publisher. |
521 ## - TARGET AUDIENCE NOTE | |
Target audience note | College of Education |
Source | Bachelor of Secondary Education major in Mathematics |
546 ## - LANGUAGE NOTE | |
Language note | Text in English |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Regression analysis. |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
Relationship information | Online version: |
Main entry heading | Arkes, Jeremy, author. |
Title | Regression analysis |
Place, publisher, and date of publication | Abingdon, Oxon ; New York, NY : Routledge, 2019 |
International Standard Book Number | 9781351011099 |
Record control number | (DLC) 2019015329 |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | 7 |
b | cbc |
c | orignew |
d | 1 |
e | ecip |
f | 20 |
g | y-gencatlg |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Dewey Decimal Classification |
Koha item type | Books |
Classification part | 500-599 |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Price effective from | Koha item type |
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Dewey Decimal Classification | GC | College Library | College Library | General Circulation Section | 03/10/2020 | Library Fund | 2 | GC 519.536 Ar48 2019 | HNU001341 | 08/29/2024 | 11/24/2022 | 06/30/2020 | Books |