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Statistics/Analytics
Business Statistics (Barron's Business Review Series) [Paperback]
Although inexpensive, this book includes a wide range of
informative and useful topics that provide a well-rounded introduction to analytics. Here are
some of the key areas the book covers:
- Descriptive Statistics
- Inferential Statistics, Statistical Estimation and
Hypothesis Testing
- Analyzing Business Data
- Specific techniques:
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- Analysis of Variance
- Simple and Multiple Linear Regression
- Nonparametric Methods
- Decision Theory
Analytics at Work: Smarter Decisions, Better Results
[Hardcover]
This inexpensive book is aimed at the business
manager who wants to plan the setup of an in-house analytic function. It includes topics such
as:
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Data requirements
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Enterprise and leadership issues
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Building an analytic culture and meeting challenges
along the way
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Embedding analytics in business processes
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Making more analytical decisions and getting better
results
Schaum's Outline of Statistics (Schaum's Outline Series) [Paperback]
This book gets into significant detail, and covers the basic
statistical landscape thoroughly yet concisely. Key topics include:
- Descriptive statistics and elementary probability
theory
- Sampling theory and distributions
- Statistical estimation and decision theory
- Specific techniques such as:
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The book also includes several useful appendices
as well as sample statistical problems and their solutions.
Statistics in a Nutshell: A Desktop Quick
Reference (In a
Nutshell (O'Reilly)) [Paperback]
Although basic, this book includes some
additional topics not typically covered by other introductory books, and which market
researchers will find helpful. Key topics include:
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Basic concepts of measurement
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Probability
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Data management
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Descriptive statistics and graphics
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Research design
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Critiquing statistics presented by others
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Inferential statistics
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Categorical data and nonparametric statistics
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The general linear model, various types of analysis
of variance, and various types of regression analysis
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Other multivariate techniques such as factor
analysis, cluster analysis, discriminant function analysis and multimensional
scaling
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Business and quality improvement statistics such as
time series, decision analysis, etc.
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Medical and epidemiological statistics
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Educational and psychological statistics
The book also has useful appendices, including a
review of basic math and an introduction to statistical analysis software packages.
Statistical Models: Theory and Practice [Paperback]
This book takes the reader to a somewhat higher
technical level, and includes topics such as:
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Observational studies and experiments
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Matrix algebra
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Various types of regression
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Path models and causal inference
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Maximum likelihood modeling (e.g., Probit,
Logit)
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Bootstrapping techniques
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Simultaneous equations
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Issues in statistical modeling
The book also includes problem sets with
answers.
Handbook of Statistical Analysis and
Data Mining Applications [Hardcover]
This book not only provides thorough coverage of statistical
concepts and techniques, but also includes much information on various machine-learning
techniques. Selected topics that go beyond the traditional statistical techniques
include:
- An overview of several popular data mining tools,
including SPSS Clementine; SAS Enterprise Miner; and STATISTICA Data Miner, QC -Miner and
Text Miner
- Classification and prediction techniques, including
neural networks, support vector machines and other kernel learning algorithms
It also covers special-interest areas such as Medical
Informatics, Bioinformatics, Customer response modeling, and fraud detection.
And the book has extensive, step-by-step tutorials, and
includes a CD-ROM disk with STATISTICA data mining software to assist with the
tutorials.
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Market
Research
Market Research Made
Easy (Self-Counsel Business)
[Paperback]
This book is a great value. It is ideal for business managers
and small business owners who are not experts in Market Research, but who want to understand
the research process well enough to successfully commission and manage research projects. Here
are some key topics it discusses:
- Uses of market research
- Types of research
- Setting research direction, developing a research plan,
including if/when to hire a professional
- In-depth discussion of both primary and secondary
research, including various sources of secondary data
- Qualitative and quantitative research methods
- Questionnaire design
- Research results analysis and interpretation
The book also includes several useful appendices and a set of
worksheets to help you plan your research projects.
Marketing Research Kit For Dummies (For Dummies (Business & Personal Finance))
[Paperback]
Don't let the title fool you. This is a very
thorough, detailed and practical guide to designing and executing marketng research, and
represents a very good value. Highlights include:
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Types of research and stages of the research
process
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Ethical considerations
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Working with independent marketing researchers
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Types of survey methods
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Recognizing and responding to research error
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Attitude measurement, survey scale construction, and
principles of good questionnaire design
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Sampling issues and techniques
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Qualitative and quantitative research
techniques
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Observational methods and projective
techniques
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Conducting experiments and test marketing
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Methods of data analysis and effective report
preparation
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Ten useful tips for business operators, and ten
useful statistical methods
This book also comes with an extensive appendix
on the accompanying DVD.
The Handbook of Marketing Research: Uses, Misuses, and Future
Advances [Hardcover]
This is the acknowledged "Bible" of marketing
research. It has everything you could ask for in a reference book. Key topics
include:
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Laying the organizational foundation for good market
research
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Data collection, including: questionnaire and scale
design; avoiding response bias; dealing with missing data; sampling and weighting;
online research techniques/technologies
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Analysis and modeling, including: basic data
analysis; advanced analytic techniques such as regression, structural equation
modeling, conjoint analysis, latent structure analysis, hierarchical Bayes models,
hazard/survival models, and an introduction to data mining
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Conceptual applications, including: advertising
testing, segmentation research, marketing mix modeling, lifetime value analysis,
customer satisfaction research, and more
The book is more expensive than most, but is definitely worth
it; and used copies in good condition can be found at a much lower price.
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Operations
Research
Schaum's Outline of Operations Research [Paperback]
This serves as a good introduction to Operations Research
concepts and techniques. Some of the key areas covered:
- Introduction to mathematical programming
- Linear, nonlinear and integer programming
- Network analysis
- Queueing systems
- Project management (CPM/PERT)
- Inventory models
- Forecasting
- Decision theory
- Game theory
The book also includes numerous sample problems and their
solutions.
Schaum's Outline of Operations
Management
[Paperback]
This book covers a wide range of key topics in
operations management, including:
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Quality management, forecasting and decision
making
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Financial analysis for operations
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Facility location and layout
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Product design
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Process planning and analysis
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Job design and work measurement
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Aggregate planning and master scheduling
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Materials management: purchasing, inventory and
Just-in Time techniques
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Inventory control: order points, safety stocks, and
service levels
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Materials requirements planning (MRP/CRP)
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Operations scheduling, control, analysis and
maintenance
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Project management (CPM/PERT)
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Quality control
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Decision Analysis & Project
Management
Absolute Beginner's Guide to Project Management (2nd Edition)
[Paperback]
A very thorough, non-technical
introduction to Project Panagement concepts and techniques. It includes many practical
applications. Here are some of the key topics discussed:
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Project planning, including defining the project and
estimating work, budget and timing
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Project control, including managing project issues,
deliverables, quality, changes and risks
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Project execution, including managing expectations,
communications, vendors and team performance
Introduction to Decision Analysis (3rd Edition)
[Hardcover]
This book goes beyond the traditional
command-and-control approaches, and introduces the concept of distributed decision analysis.
Key topics include:
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A revision to traditional decision-making
thought
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Decision making in a complex world
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Making choices under conditions of uncertainty
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The scalable decision process
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Developing a decision model
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Using simulation in conjunction with judgment and
uncertain information
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Using scalable decision process on large
problems
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Implementing the decision analysis process
The book includes useful appendices, including
several how-to guides.
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