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    Statistical Techniques for Transportation Engineering

    Statistical Techniques for Transportation Engineering

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    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    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.

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  • Vægt270 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Regression Central limit theorem Population Probability Mathematical Expectation Discrete functions Assumptions Normal distribution Correlation Moments Sample Joint Distributions Normal equations Measures of Dispersion Addition theorem on probability Assumptions for t-test Axiomatic theory of probability Binomial distributions and testing of hypothesis Chi-square distribution Baye' s theorem on probability Coefficient of quartile deviation Classical probability Conditions for using chi-square Confidence bounds Components of time series Computation of test statistic Z Discrete distributions and uniform distribution Calculation of expected frequencies Coefficient of range Coefficient of variance Coefficient of correlation Free-hand method Least square line measures of central tendency Finite correction factor Marginal density function Mean of chi-square distribution Measure of central tendency Fitting a parabola and fitting exponential curve Moments about mean Moving average method Multiplication theorem on probability Moment generation function Regression equations and multilinear regression Joint Probability Function Sampling with replacement Semiaverage method Scatter Diagram Skewness and kurtosis Systematic sampling Types of t-test Test of significance of mean for large sample Uses of t-distribution Significance of values of t Variance of chi-square distribution Measure of dispersion Least square method Relative frequency approach of probability Test of significance for single proportion and confidence intervals Rank correlation coefficient Standard error of mean Sample size determination Sampling without replacement and central limit theorem Test for goodness of fit Test for independence of attributes and homogeneity chi-square Two-way ANOVA

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