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Missing Random Effect by Chen (20 results)
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller e.K. 08 J, 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Paperback. Condition: Very Good. Missing the Random Effect This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller e.K. 00/n /08 J, 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Paperback. Condition: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Condition: New.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Condition: New.
-
Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Condition: New.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 47.16
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller e.K. 2008-01-08, 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Paperback. Condition: New.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Condition: New.
-
Missing the Random Effect
Language: English
Published by AV Akademikerverlag Aug 2012, 2012
ISBN 10: 3639455142 ISBN 13: 9783639455144
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Revision with unchanged content. In this project we look at the case when two of fundamental assumptions in the method of Maximum Likelihood are violated. In particular, we study a special class of misspecified models, where the true model is a mixed effect model but the working model is a fixed effect model with parameters of dimension increasing with sample size. We provide a sufficient condition under which the MLE derived from the working model converges to a welldefined and asymptotically normally-distributed limit. In linear models, the sample variance is biased; but there exists a robust variance estimator of the MLE that converges to the true variance in probability. We also study the Criterion-based automatic model selection methods and find that they may select a linear model that contains spurious variables, but this can be avoided by using the robust variance estimator for the MLE in Bonferroni-adjusted model section or by choosing ¿n that grows fast enough in Shao's GIC. In generalized linear models, general results are given and computational and simulation studies are carried out to corroborate asymptotic theoretical results as well as to calculate quantities that are not available in theoretical calculation.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 116.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller e.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Condition: As New. Unread book in perfect condition.
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Missing the Random Effect
Language: English
Published by VDM Verlag Dr. Mueller E.K., 2008
ISBN 10: 3836434571 ISBN 13: 9783836434577
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 48.44
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Missing the Random Effect
Language: English
Published by AV Akademikerverlag Aug 2012, 2012
ISBN 10: 3639455142 ISBN 13: 9783639455144
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. In this project we look at the case when two of fundamental assumptions in the method of Maximum Likelihood are violated. In particular, we study a special class of misspecified models, where the true model is a mixed effect model but the working model is a fixed effect model with parameters of dimension increasing with sample size. We provide a sufficient condition under which the MLE derived from the working model converges to a welldefined and asymptotically normally-distributed limit. In linear models, the sample variance is biased; but there exists a robust variance estimator of the MLE that converges to the true variance in probability. We also study the Criterion-based automatic model selection methods and find that they may select a linear model that contains spurious variables, but this can be avoided by using the robust variance estimator for the MLE in Bonferroni-adjusted model section or by choosing n that grows fast enough in Shao s GIC. In generalized linear models, general results are given and computational and simulation studies are carried out to corroborate asymptotic theoretical results as well as to calculate quantities that are not available in theoretical calculation. 152 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen RuPh.D in mathematical statistics fromUnviersity of Maryland at College Park.Lead biostatistician at MannkindCorporation, New Jersey.Revision with unchanged content. In this project we look at the case when two of fundamenta.
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Taschenbuch. Condition: Neu. Missing the Random Effect | When the Parameter Space Is Expanding | Ru Chen | Taschenbuch | Paperback | 152 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639455144 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. In this project we look at the case when two of fundamental assumptions in the method of Maximum Likelihood are violated. In particular, we study a special class of misspecified models, where the true model is a mixed effect model but the working model is a fixed effect model with parameters of dimension increasing with sample size. We provide a sufficient condition under which the MLE derived from the working model converges to a welldefined and asymptotically normally-distributed limit. In linear models, the sample variance is biased; but there exists a robust variance estimator of the MLE that converges to the true variance in probability. We also study the Criterion-based automatic model selection methods and find that they may select a linear model that contains spurious variables, but this can be avoided by using the robust variance estimator for the MLE in Bonferroni-adjusted model section or by choosing n that grows fast enough in Shao s GIC. In generalized linear models, general results are given and computational and simulation studies are carried out to corroborate asymptotic theoretical results as well as to calculate quantities that are not available in theoretical calculation.
