MARC details
| 000 -LEADER |
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| fixed length control field |
02100nam a22001937a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200312113221.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
200311b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783030203733 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
VITAP |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23rd |
| Classification number |
519.5 FRA |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
9407 |
| Personal name |
Fraser, Cynthia |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Business Statistics for Competitive Advantage with Excel 2019 and JMP : |
| Remainder of title |
Basic, Model Building, Simulation and Cases / |
| Statement of responsibility, etc. |
Cynthia Fraser |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Switzerland |
| Name of publisher, distributor, etc. |
Springer Nature |
| Date of publication, distribution, etc. |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xii, 417p. : ill. ; |
| Dimensions |
28cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
It includes Index Pages <br/><br/>Introduction<br/><br/>The revised Fifth Edition of this popular textbook is redesigned with Excel 2019 and the new inclusion of interactive, user-friendly JMP to encourage business students to develop competitive advantages for use in their future careers. Students learn to build models, produce statistics, and translate results into implications for decision makers.<br/><br/>The text features new and updated examples and assignments, and each chapter discusses a focal case from the business world which can be analyzed using the statistical strategies and software provided in the text. Paralleling recent interest in climate change and sustainability, new case studies concentrate on issues such as the impact of drought on business, automobile emissions, and sustainable package goods.<br/><br/>The book continues its coverage of inference, Monte Carlo simulation, contingency analysis, and linear and nonlinear regression. A new chapter is dedicated to conjoint analysis design and analysis, including complementary use of regression and JMP<br/>Keywords<br/>Business Statistics Excel Excel 2019 Financial Statistics Regression Modeling Statistics for business Nonlinear regression Inference JMP Simulation Forecasting Conjoint Analysis <br/><br/> |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
9397 |
| Topical term or geographic name entry element |
Mathematical statistics; Microsoft Excel (Computer file); Commercial statistics; Decision making--Mathematical models; Management; Marketing research; Statistics |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://link.springer.com/book/10.1007%2F978-3-030-20374-0#toc">https://link.springer.com/book/10.1007%2F978-3-030-20374-0#toc</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Reference Book |
| Classification part |
519.5 FRA |
