Predictive analytics for business strategy : (Record no. 132211)

MARC details
000 -LEADER
fixed length control field 02523nam a22002657a 4500
003 - CONTROL NUMBER IDENTIFIER
control field phtghnu
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240502153053.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240502b2019 nyu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781260084641
Qualifying information (paperback)
040 ## - CATALOGING SOURCE
Language of cataloging eng
Transcribing agency HNU
Description conventions rda
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Placement Code GC
Classification number 658.4012 P93
Item number 2019
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Prince, Jeffrey T.,
Relator term author.
245 ## - TITLE STATEMENT
Title Predictive analytics for business strategy :
Remainder of title reasoning from data to actionable knowledge /
Statement of responsibility, etc. Jeffrey T. Prince, Professor of Business Economics & Public Policy, Harold A. Poling Chair in Strategic Management, Kelley School of Business, Indiana University, author.
250 ## - EDITION STATEMENT
Edition statement International student edition
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture New York, NY :
Name of producer, publisher, distributor, manufacturer McGraw-Hill Education,
Date of production, publication, distribution, manufacture, or copyright notice 2019
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 348 pages :
Other physical details color illustrations ;
Dimensions 23 cm
500 ## - GENERAL NOTE
General note Includes index
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: The Roles of Data and Predictive Analytics in Business<br/>Chapter 2: Reasoning with Data<br/>Chapter 3: Reasoning from Sample to Population<br/>Chapter 4: The Scientific Method: The Gold Standard for Establishing Causality<br/>Chapter 5: Linear Regression as a Fundamental Descriptive Tool<br/>Chapter 6: Correlation vs. Causality in Regression Analysis<br/>Chapter 7: Basic Methods for Establishing Causal Inference<br/>Chapter 8: Advances Methods for Establishing Causal Inference<br/>Chapter 9: Prediction for a Dichotomous Variable<br/>Chapter 10: Identification and Data Assessment
520 ## - SUMMARY, ETC.
Summary, etc. Predictive Analytics for Business Strategy is a book designed for courses that provide conceptual and broad-based introduction to econometrics and business analytics. It lays the foundation <br/>of a course that benefits both future analysts and managers. The course gives managers a basic <br/>understanding of what data can do in an important area of business (strategy formation) and present it in a way that doesn’t feel like a taxonomy of models and their statistical properties. It gives <br/>future analysts a bigger picture of what their analysis is trying to accomplish, and the conditions <br/>under which it can be deemed successful. It gives them tools to better reason through these ideas <br/>and communicate them to others.
521 ## - TARGET AUDIENCE NOTE
Target audience note College of Business and Accountancy
Source Bachelor of Science in Business Administration major in Financial Management
546 ## - LANGUAGE NOTE
Language note In English
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Classification part 600-699
Holdings
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 Price effective from Koha item type
    Dewey Decimal Classification     GC College Library College Library General Circulation Section 09/04/2023 Library Fund   GC 658.4012 P93 2019 HNU004852 08/29/2024 05/02/2024 Books