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Optimal Unbiased Estimation Variance Components by Malley James (18 results)
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Optimal Unbiased Estimation of Variance Components
Seller: Grey Matter Books, Hadley, MA, U.S.A.
Association Member: SNEAB
Seller rating 4 out of 5 stars
Paperback. Condition: Very Good. Text is unmarked; pages are lightly yellowed. Binding is tight and square. covers are very slightly edgeworn and there is a big scuff mark/scar on the front cover. 146pp.
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paperback. Condition: Good. Good. Used with wear and age toning to pages but is still in solid reading condition. Pasadena's finest new and used bookstore since 1992.
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Optimal Unbiased Estimation of Variance Components
Published by Springer-Verlag, Berlin, 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
Paper Bound. Condition: Very Good to Fine. Sun-faded spine.
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US$ 59.16
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Condition: New. SUPER FAST SHIPPING.
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Optimal Unbiased Estimation of Variance Components
Published by Springer-Verlag New York Inc., 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
US$ 30.21
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Add to basketPaperback. Condition: Fair. Titel: Optimal Unbiased Estimation of Variance Components. Jaar van uitgave: 1986. Taal: Engels. Kaft iets verbleekt en hoekjes iets gebogen. Pagina's wat vergeeld verder prima. Enkele gebruik-/opslagsporen.
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Optimal Unbiased Estimation of Variance Components (Lecture Notes in Statistics, 39)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 68.60
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Condition: New. pp. 160.
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US$ 89.19
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Add to basketPaperback. Condition: Brand New. 156 pages. 9.25x6.50x0.50 inches. In Stock.
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Optimal Unbiased Estimation of Variance Components
Published by Springer New York, Springer New York Dez 1986, 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
US$ 64.65
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Add to basketTaschenbuch. Condition: Neu. Neuware -The clearest way into the Universe is through a forest wilderness. John MuIr As recently as 1970 the problem of obtaining optimal estimates for variance components in a mixed linear model with unbalanced data was considered a miasma of competing, generally weakly motivated estimators, with few firm gUidelines and many simple, compelling but Unanswered questions. Then in 1971 two significant beachheads were secured: the results of Rao [1971a, 1971b] and his MINQUE estimators, and related to these but not originally derived from them, the results of Seely [1971] obtained as part of his introduction of the no~ion of quad ratic subspace into the literature of variance component estimation. These two approaches were ultimately shown to be intimately related by Pukelsheim [1976], who used a linear model for the com ponents given by Mitra [1970], and in so doing, provided a mathemati cal framework for estimation which permitted the immediate applica tion of many of the familiar Gauss-Markov results, methods which had earlier been so successful in the estimation of the parameters in a linear model with only fixed effects. Moreover, this usually enor mous linear model for the components can be displayed as the starting point for many of the popular variance component estimation tech niques, thereby unifying the subject in addition to generating answers.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 160 pp. Englisch.
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Optimal Unbiased Estimation of Variance Components
Published by Springer New York, Springer New York, 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
US$ 70.58
Convert currencyUS$ 72.12 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The clearest way into the Universe is through a forest wilderness. John MuIr As recently as 1970 the problem of obtaining optimal estimates for variance components in a mixed linear model with unbalanced data was considered a miasma of competing, generally weakly motivated estimators, with few firm gUidelines and many simple, compelling but Unanswered questions. Then in 1971 two significant beachheads were secured: the results of Rao [1971a, 1971b] and his MINQUE estimators, and related to these but not originally derived from them, the results of Seely [1971] obtained as part of his introduction of the no~ion of quad ratic subspace into the literature of variance component estimation. These two approaches were ultimately shown to be intimately related by Pukelsheim [1976], who used a linear model for the com ponents given by Mitra [1970], and in so doing, provided a mathemati cal framework for estimation which permitted the immediate applica tion of many of the familiar Gauss-Markov results, methods which had earlier been so successful in the estimation of the parameters in a linear model with only fixed effects. Moreover, this usually enor mous linear model for the components can be displayed as the starting point for many of the popular variance component estimation tech niques, thereby unifying the subject in addition to generating answers.
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Optimal Unbiased Estimation of Variance Components. Berlin Springer (1986). gr.8°. IX, 146 p. Pbck. Lecture Notes on Statistics, 39.- Throughout browned, otherwise in good condition.
Seller: Antiquariat Renner OHG, Albstadt, Germany
Association Member: BOEV
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US$ 118.69
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Add to basketPaperback. Condition: Very Good. Very Good. book.
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Optimal Unbiased Estimation of Variance Components
Published by Springer New York Dez 1986, 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
US$ 64.65
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The clearest way into the Universe is through a forest wilderness. John MuIr As recently as 1970 the problem of obtaining optimal estimates for variance components in a mixed linear model with unbalanced data was considered a miasma of competing, generally weakly motivated estimators, with few firm gUidelines and many simple, compelling but Unanswered questions. Then in 1971 two significant beachheads were secured: the results of Rao [1971a, 1971b] and his MINQUE estimators, and related to these but not originally derived from them, the results of Seely [1971] obtained as part of his introduction of the no~ion of quad ratic subspace into the literature of variance component estimation. These two approaches were ultimately shown to be intimately related by Pukelsheim [1976], who used a linear model for the com ponents given by Mitra [1970], and in so doing, provided a mathemati cal framework for estimation which permitted the immediate applica tion of many of the familiar Gauss-Markov results, methods which had earlier been so successful in the estimation of the parameters in a linear model with only fixed effects. Moreover, this usually enor mous linear model for the components can be displayed as the starting point for many of the popular variance component estimation tech niques, thereby unifying the subject in addition to generating answers. 160 pp. Englisch.
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Optimal Unbiased Estimation of Variance Components
Published by Springer-Verlag New York Inc., 1986
ISBN 10: 0387964495 ISBN 13: 9780387964492
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 79.45
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 302.
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Add to basketCondition: New. Print on Demand pp. 160 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. One: The Basic Model and the Estimation Problem.- 1.1 Introduction.- 1.2 An Example.- 1.3 The Matrix Formulation.- 1.4 The Estimation Criteria.- 1.5 Properties of the Criteria.- 1.6 Selection of Estimation Criteria.- Two: Basic Linear Technique.- 2.1 Introd.
