Olga Pendleton

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Olga J. Pendleton is an American statistician known for her research on road traffic safety and alcohol-impaired driving as a statistician at the Texas A&M Transportation Institute, and as a member of the "Zero Alcohol" committee of the National Research Council. [1] She has also published highly-cited work on the geometric design of roads [2] and, with Ronald R. Hocking, on multiple linear regression. [3]

Contents

Education

Pendleton did her undergraduate studies at the University of South Alabama. [4] As Olga Pendleton Hackney, she did her graduate studies at Emory University. She earned a master's degree in 1973 with the thesis Periodic Regression Revisited (supervised by Yick-Kwong Chan) and completed her Ph.D. with the 1976 dissertation Hypothesis Testing In The General Linear Model. [4] [5] [6]

Career

Before working at the Texas Transportation Institute, Pendleton became an assistant professor at Mississippi State University, [5] and then was associated with the University of Texas System Cancer Center, starting in 1980. [7] As Olga J. Hocking and later Olga J. Herman, she has taught at Northern Michigan University since 2011. [4]

Recognition

She was elected as a Fellow of the American Statistical Association in 1991. [8]

Related Research Articles

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Drunk driving is the act of operating a motor vehicle with the operator's ability to do so impaired as a result of alcohol consumption, or with a blood alcohol level in excess of the legal limit. For drivers 21 years or older, driving with a blood alcohol concentration (BAC) of 0.08% or higher is illegal. For drivers under 21 years old, the legal limit is lower, with state limits ranging from 0.00 to 0.02. Lower BAC limits apply when operating boats, airplanes, or commercial vehicles. Among other names, the criminal offense of drunk driving may be called driving under the influence (DUI), driving while intoxicated or impaired (DWI), operating [a] vehicle under the influence of alcohol (OVI), or operating while impaired (OWI).

<span class="mw-page-title-main">Michigan left</span> Type of intersection

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<span class="mw-page-title-main">Driving under the influence</span> Driving a motor vehicle while under the influence of an impairing substance

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The Texas A&M Transportation Institute (TTI) in Bryan/College Station, Texas is a transportation research agency in the United States. The institute was created in 1950, primarily in response to the needs of the Texas Highway Department. TTI is a state agency and a member of the Texas A&M University System.

<span class="mw-page-title-main">Rumble strip</span> Road safety feature

Rumble strips are a road safety feature to alert inattentive drivers of potential danger, by causing a tactile fuzzy vibration and audible rumbling transmitted through the wheels into the vehicle interior. A rumble strip is applied along the direction of travel following an edgeline or centerline, to alert drivers when they drift from their lane. Rumble strips may also be installed in a series across the direction of travel, to warn drivers of a stop or slowdown ahead, or of an approaching danger spot.

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<span class="mw-page-title-main">National Traffic and Motor Vehicle Safety Act</span> United States federal law

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<span class="mw-page-title-main">Driving in the United States</span>

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Edna Schechtman was an Israeli statistician, a professor emeritus of statistics at the Department of Industrial Engineering and Management, Ben-Gurion University of the Negev. She is best known for development of statistical tools that utilize the Gini Mean Difference (GMD) as the measure of association.

References

  1. Driving Under the Influence: A Report to Congress on Alcohol Limits, U.S. Department of Transportation, National Highway Traffic Safety Administration, 1992, p. A-3
  2. Krammes, R. A.; Brackett, R. Q.; Shafer, M. A.; Ottesen, J. L.; Anderson, I. B.; Fink, K. L.; Collins, K. M.; Pendleton, O. J.; Messer, C. J. (1995), Horizontal alignment design consistency for rural two-lane highways, US Department of Transportation
  3. Hocking, R.R.; Pendleton, O.J. (January 1983), "The regression dilemma", Communications in Statistics - Theory and Methods, 12 (5): 497–527, doi:10.1080/03610928308828477
  4. 1 2 3 Adjunct/Contingent Faculty, Northern Michigan University Mathematics and Computer Science, retrieved 2018-12-01
  5. 1 2 Computer Science and Statistics--Tenth Annual Symposium on the Interface, U.S. Department of Commerce, National Bureau of Standards, 1978, p. 70
  6. WorldCat catalog entries for Periodic Regression Revisited and for Hypothesis Testing In The General Linear Model, retrieved 2018-12-01.
  7. "New staff appointments—June through December 1980", The University of Texas System Cancer Center Newsletter, 26 (1): 8, January–February 1981
  8. ASA Fellows list, American Statistical Association, archived from the original on 2019-04-25, retrieved 2018-12-01