Ebook Quantitative Analysis for Management (12th Edition), by Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Trevor S. Hale
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Quantitative Analysis for Management (12th Edition), by Barry Render, Ralph M. Stair Jr., Michael E. Hanna, Trevor S. Hale
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For courses in Management Science or Decision Modeling
A solid foundation in quantitative methods and management science
This popular text gives students a genuine foundation in business analytics, quantitative methods, and management science—and how to apply the concepts and techniques in the real world—through a strong emphasis on model building, computer applications, and examples. The authors’ approach presents mathematical models, with all of the necessary assumptions, in clear, plain English, and then applies the ensuing solution procedures to example problems along with step-by-step, how-to instructions. In instances in which the mathematical computations are intricate, the details are presented in a manner that ensures flexibility, allowing instructors to omit these sections without interrupting the flow of the material. The use of computer software enables the instructor to focus on the managerial problem and spend less time on the details of the algorithms. Computer output is provided for many examples throughout the text.
Teaching and Learning Experience
This text provides a solid foundation in quantitative methods and management science. Here’s how:
- Students see clearly how concepts and techniques are used in real organizations.
- Outstanding in-text features provide reinforcement and ensure understanding.
- The text’s use of software allows instructors to focus on the managerial problem, while spending less time on the mathematical details of the algorithms.
- Sales Rank: #89647 in Books
- Published on: 2014-01-18
- Original language: English
- Number of items: 1
- Dimensions: 10.90" h x 1.00" w x 8.60" l, .0 pounds
- Binding: Hardcover
- 608 pages
Most helpful customer reviews
12 of 12 people found the following review helpful.
REQUIRED FOR MGMT 524 MANAGEMENT SCIENCE
By D. Comer
This book is required for the MGMT 524 Management Science course at Embtry-Riddle Aeronautical University. It does not come with a CD, but the programs associated with it are available for free at the companion website.
20 of 22 people found the following review helpful.
Software Corrected for the 11th Edition-- ignore old reviews!
By Let's Compare Options Preptorial
I've taught both MBA and Master's in Management classes online and physically at MIT, Harvard (GE Crotonville) and Phoenix State University. There are a group of about 3-5 texts that are now the most popular for graduate Quantitative Analysis (QA). These include the Swift text (most popular in Europe) at from $40 to $80 US (Quantitative Methods: For Business, Management and Finance), the Render Quantitative Analysis for Management text (Quantitative Analysis for Management (11th Edition)), $175 for the 11th edition, and the very thorough but NOT for self study Anderson text (Quantitative Methods for Business (with Printed Access Card)) for $250.
QA is a really tough course for people with less math background such as liberal arts, nursing, etc. students going for an MBA, and a bit easier for math and engineering majors in undergrad, because it involves modeling, using a lot of fairly advanced math. Typical QA courses include linear programming (not really linear, and not really programming-- it is about objectives and constraints stated algebraically to find "optimal" graphic or corner solutions to problems such as mixing, profit maximization, or cost minimization); queueing problems; statement analysis; Decision analysis; Project Management; Forecasting; Inventory Control; Logistics; Markov Analysis; Stats; Integer/ nonlinear/ goal programming; regression modeling; simulation; probability, and possibly some econometrics. Most grad (MBA) courses don't go as far as differential equation modeling (frequent models in physics, biosciences, ecology, etc).
The Swift and Render texts are the most popular, and the Anderson text a distant third according to publisher's (QA!) data on course use and sales. Both Swift and Render are frequently zinged in reviews for broken or less useful software and models, but this is an unfair criticism. Swift gives numerous (although London oriented) model examples, and Render has their own internet models available. The reason both of these criticisms are unfair is that there are numerous plug ins for Excel that do all the analysis, statistics, programming solutions, etc. you will need regardless of which text you use. The Library Picks team chose Render as the top pick, but due to expense, if you're doing self study, Swift is also a good bet.
If the included websites, plug ins, templates and downloads aren't working for you from a software/ modeling viewpoint, here is a brief list of outstanding Excel options that will do the same thing, many for free:
-- Statistical Analysis: Microsoft Excel 2010
-- Business Analysis: Microsoft Excel 2010 (MrExcel Library)
-- Predictive Analytics: Microsoft Excel
-- Microsoft Excel 2010: Data Analysis and Business Modeling
-- Charts and Graphs: Microsoft Excel 2010 (MrExcel Library)
These will take care of the problems metioned by some reviewers that it is hard to stay up to date on models. In particular, Microsoft has now migrated their SQL server business analysis package to a new language called DAX in the FREE Excel plug in PowerPivot. These plug ins, many free on the web, will work perfectly with the examples in Swift and Render so you don't have to sweat the included QA software if it crashes.
One caveat: many reviews complain about QA software with "bugs" when in fact it is the reviewer's computer at fault. To run modern QA programs with lots of modeling, you need a modern dual core processor with at LEAST 8 gig of ram, preferably 12 or 16. The reason for this is that with pipelining, the old "math coprocessor" hardware has given way to sharing between CPU and GPU for floating point, and recent software-- even SPSS -- will crash older machines or appear to be buggy. Excel with a plug in also is a great answer to this, because you can get away with much less power if your machine is already doing well with Excel. PowerPivot is intensive, but only if you have huge amounts of data. The typical mixing problem is no problem even with a computer that's say, post 2009.
0 of 0 people found the following review helpful.
The contents of the textbook I received were great. However the actual book was in horrible condition
By Amazon Customer
The contents of the textbook I received were great. However the actual book was in horrible condition. When I opened the box, the back portion of the book fell out, it wasn't even attached. I was not impressed. I have always used Amazon for textbooks but this particular book was in horrible condition.
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