Arner stanford (6 Ergebnisse)
Early American Literature, Volume 8, No. 1 (spring 1973)
Bush; Loewinsohn; Andrews; Freimarck; Stanford; Arner; Lemay; Sullivan; and Dolmetsch
Verlag: University of Massachusetts, Amherst, 1973
- Softcover
- Erstausgabe
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In den WarenkorbSoft cover. Zustand: Very Good. 1st Edition. Issue has minor wear. Includes articles on: thomas hooker's "the poor" -- jonathan edwards' opticks -- william smith -- timothy dwight -- edward taylor and poems of john cleveland -- and nehemiah walter; also reviews and other features. 99 p. Size: 9 x 6 Inches. [b 720].
Verlag: Broomall (PA): USDA, 1978, 1978
- Softcover
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In den WarenkorbPaper 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.
- Hardcover
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
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HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
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Gebunden. Zustand: 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 .
- Softcover
- Print-on-Demand
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Paperback. Zustand: 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 est…imates and can also be used to solve several well-known statistical models, including the multivariate linear regression model. Providing definitions and notations used in incomplete multivariate models, the author delves into the subject of maximum likelihood estimates and how they are calculated. Practical examples demonstrate the program, and the author addresses sample problems, issues, warnings, and error messages that may occur. With its clear explanations and illustrative examples, this book is a valuable resource for researchers and practitioners in statistics, econometrics, and related fields, as well as students studying these disciplines. By providing a user-friendly tool for obtaining maximum likelihood estimates in incomplete multivariate linear models, this book makes complex statistical calculations more accessible and efficient. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
