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  1. en.wikipedia.org › wiki › Arthur_HoerlArthur Hoerl - Wikipedia

    Arthur Hoerl (December 17, 1891 – February 6, 1968) was an American screenwriter and film director. Hoerl was born in New York, son of Louis Hoerl, a German immigrant silver polisher, and Teresa Hoerl. Arthur completed three years of high school, according to the 1940 US Census. He wrote for 150 films between 1921 and 1968.

    • Adolph Hoerl, December 17, 1891, New York City
    • 1921–1968
  2. Dec 13, 1994 · Arthur E Hoerl V. Birth. 9 Jul 1921. Death. 13 Dec 1994 (aged 73) Burial. Delaware Veterans Memorial Cemetery. Bear, New Castle County, Delaware, USA Show Map. Plot. SECTION U ROW E SITE 32. Memorial ID. 81637853. · View Source. Suggest Edits. Memorial. Photos 4. Flowers 1. Memorials. Region. North America. USA. Delaware. New Castle County. Bear.

    • July 9, 1921
  3. AH was technically Arthur Edwin Hoerl, Jr., as his father was Arthur Hoerl. Arthur Hoerl, my ... The following borrows significantly from Bob’s obituary, which can be found in its entirety at

  4. Oct 21, 2021 · Called “Ridge Regression,” this statistical marvel came from the minds of the late Prof. Arthur Hoerl and UD alumnus Bob Kennard, then a DuPont Co. research statistician. In terms simplified for mere-mortal readers, the formula essentially allows researchers to cope with problemsome “correlated” variables in mathematical models ...

  5. Dec 2, 2009 · She was preceded in death by her husband of 47 years, Arthur Edwin Hoerl, who passed away in 1994. Marge, as she was known to friends, was born in Memphis, Tenn., on Feb. 9, 1922 to David and...

  6. This memorial website was created in memory of Arthur E Hoerl, 73, born on July 9, 1921 and passed away on December 13, 1994. Vital records: +Archives Death record, obituary, funeral notice and information about the deceased person

  7. May 20, 2021 · In 1970, then University of Delaware professor Arthur Hoerl and his colleague UD alumnus Robert “Bob” Kennard developed ridge regression, a now world-famous statistical methodology that has withstood the test of time and revolutionized statistical modeling, leading to various machine learning methods popular today.

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