Coverart for item
The Resource Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basics, Model Building, Simulation and Cases, by Cynthia Fraser, (electronic resource)

Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basics, Model Building, Simulation and Cases, by Cynthia Fraser, (electronic resource)

Label
Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basics, Model Building, Simulation and Cases
Title
Business Statistics for Competitive Advantage with Excel 2019 and JMP
Title remainder
Basics, Model Building, Simulation and Cases
Statement of responsibility
by Cynthia Fraser
Creator
Subject
Language
eng
Summary
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. 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. 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.--
Assigning source
Provided by publisher
http://library.link/vocab/creatorName
Fraser, Cynthia
Image bit depth
0
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Springer eBooks.
http://library.link/vocab/subjectName
  • Statistics
  • Management
  • Market research
Label
Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basics, Model Building, Simulation and Cases, by Cynthia Fraser, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-030-20374-0
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Statistics for Decision Making and Competitive Advantage -- 2. Describing your Data -- 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- 4. Simulation to Infer Future Performance Levels Given Assumptions -- 5. Simple Regression for Long Range Forecasts -- 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- 7. Indicator Variables -- 8. Presenting Statistical analysis Results to Management -- 9. Nonlinear Regression Models -- 10. Logit Regression for Bounded Dependent Variables -- 11. Building Multiple Regression Models -- 12. Model Building and Forecasting with Multicollinear Time Series.-13. Association between Two Categorical Varaibles: Contingency Analysis with Chi Square -- 14. Conjoint Analysis and Experimental Data
Control code
978-3-030-20374-0
Dimensions
unknown
Edition
1st ed. 2019.
Extent
1 online resource (XII, 417 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783030203740
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
345 illustrations, 341 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1111784541
Label
Business Statistics for Competitive Advantage with Excel 2019 and JMP : Basics, Model Building, Simulation and Cases, by Cynthia Fraser, (electronic resource)
Link
http://ezproxy.eui.eu/login?url=https://doi.org/10.1007/978-3-030-20374-0
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
1. Statistics for Decision Making and Competitive Advantage -- 2. Describing your Data -- 3 Hypothesis Tests and Confidence Intervals to Infer Population Characteristics and Differences -- 4. Simulation to Infer Future Performance Levels Given Assumptions -- 5. Simple Regression for Long Range Forecasts -- 6. Finance Application: Portfolio Analysis with a Market Index as a Leading Indicator in Simple Linear Regression -- 7. Indicator Variables -- 8. Presenting Statistical analysis Results to Management -- 9. Nonlinear Regression Models -- 10. Logit Regression for Bounded Dependent Variables -- 11. Building Multiple Regression Models -- 12. Model Building and Forecasting with Multicollinear Time Series.-13. Association between Two Categorical Varaibles: Contingency Analysis with Chi Square -- 14. Conjoint Analysis and Experimental Data
Control code
978-3-030-20374-0
Dimensions
unknown
Edition
1st ed. 2019.
Extent
1 online resource (XII, 417 pages)
File format
multiple file formats
Form of item
  • online
  • electronic
Governing access note
Use of this electronic resource may be governed by a license agreement which restricts use to the European University Institute community. Each user is responsible for limiting use to individual, non-commercial purposes, without systematically downloading, distributing, or retaining substantial portions of information, provided that all copyright and other proprietary notices contained on the materials are retained. The use of software, including scripts, agents, or robots, is generally prohibited and may result in the loss of access to these resources for the entire European University Institute community
Isbn
9783030203740
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
345 illustrations, 341 illustrations in color.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(OCoLC)1111784541

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