Book description
Statistical Techniques for Transportation Engineering is written with a systematic approach in mind and covers a full range of data analysis topics, from the introductory level (basic probability, measures of dispersion, random variable, discrete and continuous distributions) through more generally used techniques (common statistical distributions, hypothesis testing), to advanced analysis and statistical modeling techniques (regression, AnoVa, and time series). The book also provides worked out examples and solved problems for a wide variety of transportation engineering challenges.
 Demonstrates how to effectively interpret, summarize, and report transportation data using appropriate statistical descriptors
 Teaches how to identify and apply appropriate analysis methods for transportation data
 Explains how to evaluate transportation proposals and schemes with statistical rigor
Table of contents
 Cover image
 Title page
 Table of Contents
 Copyright
 Preface
 Chapter 1. An Overview of Statistical Applications

Chapter 2. Preliminaries
 Abstract
 2.1 Introduction
 2.2 Basic Concepts
 2.3 Tabulation of Data
 2.4 Frequency Distribution
 2.5 Cumulative Frequency Table
 2.6 Measures of Central Tendency
 2.7 Arithmetic Mean
 2.8 Median
 2.9 Mode
 2.10 Geometric Mean
 2.11 Harmonic Mean
 2.12 Partition Values (Quartiles, Deciles, and Percentiles)
 2.13 Measures of Dispersion
 2.14 Range
 2.15 Interquartile Range
 2.16 Quartile Deviation
 2.17 Mean Deviation
 2.18 Standard Deviation
 Chapter 3. Probability

Chapter 4. Random Variables
 Abstract
 4.1 Introduction
 4.2 Discrete Random Variable
 4.3 Probability Distribution for a Discrete Random Variable
 4.4 Mean and Variance of a Discrete Distribution
 4.5 Continuous Random Variable
 4.6 Probability Density Function
 4.7 Cumulative Distribution Function
 4.8 Mean and Variance of a Continuous Random Variable
 4.9 Joint Distributions
 4.10 Conditional Probability Distribution
 4.11 Independent Random Variables
 4.12 Joint Probability Function of Continuous Random Variables
 4.13 Joint Probability Distribution Function of Continuous Random Variables
 4.14 Marginal Distribution Function
 4.15 Conditional Probability Density Functions
 4.16 Mathematical Expectation and Moments
 4.17 Moments
 4.18 Moment Generating Function
 4.19 Properties of Moment Generating Function
 4.20 Discrete Probability Distributions
 4.21 Poisson Distribution
 4.22 Discrete Uniform Distribution
 4.23 The Negative Binomial and Geometric Distribution
 4.24 Geometric Distribution
 4.25 Continuous Probability Distributions
 4.26 Normal Distribution
 4.27 Characteristic Function
 4.28 Gamma Distribution
 4.29 Beta Distribution of First Kind
 4.30 Weibull Distribution
 Chapter 5. Curve Fitting

Chapter 6. Correlation and Regression
 Abstract
 6.1 Introduction
 6.2 Correlation
 6.3 Coefficient of Correlation
 6.4 Methods of Finding Coefficient of Correlation
 6.5 Scatter Diagram
 6.6 Direct Method
 6.7 Spearman’s Rank Correlation Coefficient
 6.8 Calculation of r (Correlation Coefficient) (Karl Pearson’s Formula)
 6.9 Regression
 6.10 Regression Equation
 6.11 Curve of Regression
 6.12 Types of Regression
 6.13 Regression Equations (Linear Fit)
 6.14 Angle between Two Lines of Regression
 6.15 Coefficient of Determination
 6.16 Coefficient Nondetermination
 6.17 Coefficient of Alienation
 6.18 Multilinear Regression
 6.19 Uses of Regression Analysis
 Chapter 7. Sampling

Chapter 8. Hypothesis Testing
 Abstract
 8.1 Introduction
 8.2 Hypothesis
 8.3 Hypothesis Testing
 8.4 Types of Hypothesis
 8.5 Computation of Test Statistic
 8.6 Level of Significance
 8.7 Critical Region
 8.8 OneTailed Test and TwoTailed Test
 8.9 Errors
 8.10 Procedure for Hypothesis Testing
 8.11 Important Tests of Hypothesis
 8.12 Critical Values
 8.13 Test of Significance—Large Samples
 8.14 Test of Significance for Single Proportion
 8.15 Testing of Significance for Difference of Proportions
 Chapter 9. ChiSquare Distribution

Chapter 10. Test of Significance—Small Samples
 Abstract
 10.1 Introduction
 10.2 Moments About Mean
 10.3 Properties of Probability Curve
 10.4 Assumptions for tTest
 10.5 Uses of tDistribution
 10.6 Interval Estimate of Population Mean
 10.7 Types of tTest
 10.8 Significant Values of t
 10.9 Test of Significance of a Single Mean
 10.10 Student’s tTest for Difference of Means
 10.11 Paired tTest
 10.12 FDistribution
 Chapter 11. ANOVA (Analysis of Variance)
 Chapter 12. Analysis of Time Series

Chapter 13. Index Numbers
 Abstract
 13.1 Introduction
 13.2 Definitions and Characteristics
 13.3 Types of Index Numbers
 13.4 Problems in the Construction of Index Numbers
 13.5 Method of Constructing Index Numbers
 13.6 Tests for Consistency of Index Numbers
 13.7 Quantity Index Numbers
 13.8 Consumer Price Index Number
 13.9 Chain Base Method
 13.10 Base Conversion
 13.11 Splicing
 13.12 Deflation
 Index
Product information
 Title: Statistical Techniques for Transportation Engineering
 Author(s):
 Release date: March 2017
 Publisher(s): ButterworthHeinemann
 ISBN: 9780128116425
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