LEADER 02232nam 2200433 450 001 9910583358703321 005 20230120002538.0 010 $a0-12-811642-0 035 $a(CaSebORM)9780128116425 035 $a(MiAaPQ)EBC4816594 035 $a(EXLCZ)993710000001084779 100 $a20170317h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aStatistical techniques for transportation engineering /$fKumar Molugaram, G. Shanker Rao 205 $a1st edition 210 1$aOxford, England ;$aCambridge, Massachusetts :$cButterworth-Heinemann,$d2017. 210 4$dİ2017 215 $a1 online resource (555 pages) $cillustrations 300 $aIncludes index. 311 $a0-12-811555-6 330 $aStatistical 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 606 $aTransportation engineering 606 $aTransportation engineering$xStatistical methods 615 0$aTransportation engineering. 615 0$aTransportation engineering$xStatistical methods. 676 $a625.0684 700 $aMolugaram$b Kumar$0912900 702 $aRao$b G. Shanker 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910583358703321 996 $aStatistical techniques for transportation engineering$92044537 997 $aUNINA