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.
作者介紹
作者簡介
Barry Render
現職:Graduate School of Business, Rollins College
Michael E. Hanna
現職:University of Houston-Clear Lake
Ralph M. Stair
現職:JR.-Florida State University
Trevor S. Hale
現職:University of Houston-Downtown
Barry Render
現職:Graduate School of Business, Rollins College
Michael E. Hanna
現職:University of Houston-Clear Lake
Ralph M. Stair
現職:JR.-Florida State University
Trevor S. Hale
現職:University of Houston-Downtown
目錄
Ch 1 Data and Decisions
Ch 2 Displaying and Describing Categorical Data
Ch 3 Displaying and Describing Quantitative Data
Ch 4 Correlation and Linear Regression
Ch 5 Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
Ch 6 Random Variables and Probability Models
Ch 7 The Normal and other Continuous Distributions
Ch 8 Surveys and Sampling
Ch 9 Sampling Distributions and Confidence Intervals for Proportions
Ch 10 Testing Hypotheses about Proportions
Ch 11 Confidence Intervals and Hypothesis Tests for Means
Ch 12 More About Tests and Intervals
Ch 13 Comparing Two Means
Ch 14 Inference for Counts: ChiSquare Tests
Ch 15 Inference for Regression
Ch 16 Understanding Residuals
Ch 17 Multiple Regression
Ch 18 Building Multiple Regression Models
Ch 19 Time Series Analysis
Ch 20 Design and Analysis of Experiments and Observational Studies
Ch 21 Quality Control
Ch 22 Nonparametric Methods
Ch 23 Decision Making and Risk
Ch 24 Introduction to Data Mining
Ch 2 Displaying and Describing Categorical Data
Ch 3 Displaying and Describing Quantitative Data
Ch 4 Correlation and Linear Regression
Ch 5 Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
Ch 6 Random Variables and Probability Models
Ch 7 The Normal and other Continuous Distributions
Ch 8 Surveys and Sampling
Ch 9 Sampling Distributions and Confidence Intervals for Proportions
Ch 10 Testing Hypotheses about Proportions
Ch 11 Confidence Intervals and Hypothesis Tests for Means
Ch 12 More About Tests and Intervals
Ch 13 Comparing Two Means
Ch 14 Inference for Counts: ChiSquare Tests
Ch 15 Inference for Regression
Ch 16 Understanding Residuals
Ch 17 Multiple Regression
Ch 18 Building Multiple Regression Models
Ch 19 Time Series Analysis
Ch 20 Design and Analysis of Experiments and Observational Studies
Ch 21 Quality Control
Ch 22 Nonparametric Methods
Ch 23 Decision Making and Risk
Ch 24 Introduction to Data Mining
網路書店
類別
折扣
價格
-
新書95折$1254