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:
• • 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:

• Data requirements
• Enterprise and leadership issues
• Building an analytic culture and meeting challenges along the way
• Embedding analytics in business processes
• 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:
• • Curve fitting and the method of least squares
  • Chi-square test
  • Correlation theory, including multiple and partial correlation
  • Analysis of variance
  • Nonparametric statistics
  • Statistical process control

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:

• Basic concepts of measurement
• Probability
• Data management
• Descriptive statistics and graphics
• Research design
• Critiquing statistics presented by others
• Inferential statistics
• Categorical data and nonparametric statistics
• The general linear model, various types of analysis of variance, and various types of regression analysis
• Other multivariate techniques such as factor analysis, cluster analysis, discriminant function analysis and multimensional scaling
• Business and quality improvement statistics such as time series, decision analysis, etc.
• Medical and epidemiological statistics
• 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:

• Observational studies and experiments
• Matrix algebra
• Various types of regression
• Path models and causal inference
• Maximum likelihood modeling (e.g., Probit, Logit)
• Bootstrapping techniques
• Simultaneous equations
• 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.

Note: Please check the list periodically, as more books may be added.

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:

• Types of research and stages of the research process
• Ethical considerations
• Working with independent marketing researchers
• Types of survey methods
• Recognizing and responding to research error
• Attitude measurement, survey scale construction, and principles of good questionnaire design
• Sampling issues and techniques
• Qualitative and quantitative research techniques
• Observational methods and projective techniques
• Conducting experiments and test marketing
• Methods of data analysis and effective report preparation
• Ten useful tips for business operators, and ten useful statistical methods

This book also comes with an extensive appendix on the accompanying DVD.

Note: Please check the list periodically, as more books may be added.

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:

• Quality management, forecasting and decision making
• Financial analysis for operations
• Facility location and layout
• Product design
• Process planning and analysis
• Job design and work measurement
• Aggregate planning and master scheduling
• Materials management: purchasing, inventory and Just-in Time techniques
• Inventory control: order points, safety stocks, and service levels
• Materials requirements planning (MRP/CRP)
• Operations scheduling, control, analysis and maintenance
• Project management (CPM/PERT)
• Quality control

Note: Please check the list periodically, as more books may be added.

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:

• Project planning, including defining the project and estimating work, budget and timing
• Project control, including managing project issues, deliverables, quality, changes and risks
• 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:

• A revision to traditional decision-making thought
• Decision making in a complex world
• Making choices under conditions of uncertainty
• The scalable decision process
• Developing a decision model
• Using simulation in conjunction with judgment and uncertain information
• Using scalable decision process on large problems
• Implementing the decision analysis process

The book includes useful appendices, including several how-to guides.

Note: Please check the list periodically, as more books may be added.