There is, I think, something ethereal about i —the square root of minus one. I remember first hearing about it at school. It seemed an odd beast at that time—an intruder hovering on the edge of reality.

Usually familiarity dulls this sense of the bizarre, but in the case of i it was the reverse: over the years the sense of its surreal nature intensified. It seemed that it was impossible to write mathematics that described the real world in …

I and i

Thank you for downloading using multivariate statistics. As you may know, people have look hundreds times for their favorite novels like this using multivariate statistics, but end up in infectious downloads. Rather than reading a good book with a cup of tea in the afternoon, instead they juggled with some harmful bugs inside their laptop. using multivariate statistics is available in our digital library an online access to it is set as public so you can download it instantly. Our books collection saves in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the using multivariate statistics is universally compatible with any devices to read.

Using Multivariate Statistics

计量经济分析 = Econometric analysis

(1991). Applied Linear Regression Models. Journal of Quality Technology: Vol. 23, No. 1, pp. 76-77.

Applied Linear Regression Models

Highway Capacity Manual改訂の動向--テイラ-教授の講演より

A transient, two-dimensional finite-difference model is developed to assess temperature fluctuations in asphalt pavements due to thermal environmental conditions. Fluctuations in temperatures significantly affect pavement stability and the selection of asphalt grading used in pavements. The ability to accurately predict asphalt pavement temperature at different depths and horizontal locations based on thermal environmental conditions will greatly help pavement engineers in performing back-calculations of pavement modulus values and in selecting the asphalt grade to be used in various pavement lifts through detailed examination of predicted pavement temperature distributions on various pavement mixes. A more sophisticated selection of asphalt through specification of less expensive asphalt binders in lower lifts is thus possible for the provision of more economical solutions to rising pavement construction costs. As part of the model validation, sensitivity analyses are performed to study the impact of a number of thermal environmental and pavement geometric parameters on predicted temperature responses.

https://rosap.ntl.bts.gov/view/dot/37920/dot_37920_DS1.pdf

Assessment of temperature fluctuations in asphalt pavements due to thermal environmental conditions using a two-dimensional transient finite difference approach

Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models.

Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming.

Roadway safety is an integral part of a functioning infrastructure. A major use of the highway system is the transport of goods. The United States has experienced constant growth in the amount of freight transported by truck in the last few years. Wyoming is experiencing a large increase in truck traffic on some of its local and county roads due to an increase in oil and gas production. This study explores the involvement of heavy trucks in crashes and their significance as a predictor of crash severity and addresses the effect that large truck traffic is having on the safety of roadways for various road classifications. Studies have been done on the factors involved in and the causation of heavy truck crashes, but none address the causation and effect of roadway classifications on truck crashes. Binary Logit Models (BLM) with Bayesian inferences were utilized to classify heavy truck involvement in severe and non-severe crashes using ten years (2002-2011) of historical crash data in the State of Wyoming. From the final main effects model, various interactions proved to be significant in predicting the severity of crashes and varied depending on the roadway classification. The results indicated the odds of a severe crash increase to 2.3 and 4.5 times when a heavy truck is involved on state and interstate highways respectively. The severity of crashes is significantly increased when road conditions were not clear, icy, and during snowy weather conditions. .

Effects of Truck Traffic on Crash Injury Severity on Rural Highways in Wyoming Using Bayesian Binary Logit Models

This research project utilized laboratory evaluations to study effects of freeze-thaw cycling on the tensile strength of eight Hot Mix Asphalt mixtures and to determine if the Georgia Loaded Wheel Tester could be utilized to measure moisture susceptibility of Hot Mix Asphalt mixtures. The evaluation involved eight Hot Mix Asphalt mixtures from combinations of two aggregate types and four asphalt-additive-aging possibilities. Laboratory testing was accomplished in the first phase with the production of 2.5 by 4 inch cores that were freeze-thaw cycled and tested for their indirect tensile strength following Wyoming modified AASHTO T283. The second phase was accomplished using 3 by 6 inch cores that were conditioned and tested for rutting using the Georgia Loaded Wheel Tester. Finally, a statistical analysis was performed to determine if performance of the various mixtures was significantly different in groups of asphalt types and to determine if the Georgia Loaded Wheel Tester was a viable measurement tool for moisture susceptibility.

Khaled Ksaibati

Papers

Assessment of temperature fluctuations in asphalt pavements due to thermal environmental conditions using a two-dimensional transient finite difference approach

Effects of truck traffic on crash injury severity on rural highways in Wyoming using Bayesian binary logit models.

Ordered logistic models of influencing factors on crash injury severity of single and multiple-vehicle downgrade crashes: A case study in Wyoming.

Effects of Truck Traffic on Crash Injury Severity on Rural Highways in Wyoming Using Bayesian Binary Logit Models

Evaluating moisture susceptibility of asphalt mixes