Arner Stanford (5 results)

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  • Published by Broomall (PA): USDA, 1978, 1978

    • Softcover

    Seller: Books on the Web, Winnipeg, MB, CanadaBooks on the Web

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    Condition: Used

    US$ 10.00

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    Paper bound, thin 4to, illustrated throughout, Pp 5. Includes citations. Ex-library else tight and clean and a very good or better copy. 30 grams - ships lettermail. We welcome all reasonable offers on our books. All books in stock and available for immediate shipment from Winnipeg, Manitoba.

  • Language: English

    Published by Forgotten Books, 2018

    0366434888 / 9780366434886

    • Hardcover

    Seller: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US

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    Condition: New

    US$ 56.49

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    Quantity: 15 available

    HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by Forgotten Books, 2018

    0366434888 / 9780366434886

    • Hardcover

    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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    Condition: New

    US$ 50.21

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    Quantity: 15 available

    HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.

  • Language: English

    Published by FB&C LTD, 2018

    0366434888 / 9780366434886

    • Hardcover

    Seller: moluna, Greven, Germanymoluna

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    Condition: New

    US$ 56.82

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    Quantity: Over 20 available

    Gebunden. Condition: New. KlappentextrnrnExcerpt from Missing: A Computer Program for the Maximum Likelihood Estimates of the Parameters of the Multivariate Linear Model With Incomplete MeasurementsOur procedure was developed to model the forest growth and yield .

  • Language: English

    Published by Forgotten Books, 2018

    0365808954 / 9780365808954

    • Softcover
    • Print on Demand

    Seller: Forgotten Books, London, United KingdomForgotten Books

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    US$ 29.46

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    Paperback. Condition: New. Print on Demand. This book focuses on how to calculate maximum likelihood estimates of the parameters of a multivariate linear model with correlated errors when some of the dependent variates are not measured on some of the experimental units. The author presents a computer program that obtains these e