Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer 8/23/2016, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Paperback or Softback. Condition: New. The Linear Model and Hypothesis: A General Unifying Theory 0.68. Book.
Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer International Publishing Aug 2016, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies. 216 pp. Englisch.
Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer International Publishing, Springer International Publishing, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a concise and integrated overview of hypothesis testing in four important subject areas, namely linear and nonlinear models, multivariate analysis, and large sample theory. The approach used is a geometrical one based on the concept of projections and their associated idempotent matrices, thus largely avoiding the need to involvematrix ranks. It is shown that all the hypotheses encountered are either linear or asymptotically linear, and that all the underlying models used are either exactly or asymptotically linear normal models. This equivalence can be used, for example, to extend the concept of orthogonality to other models in the analysis of variance, and to show that the asymptotic equivalence of the likelihood ratio, Wald, and Score (Lagrange Multiplier) hypothesis tests generally applies.
Published by Springer, 2024
ISBN 10: 3319349171 ISBN 13: 9783319349176
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paperback. Condition: New. Brand New! This item is printed on demand.
Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Published by Springer International Publishing, 2016
ISBN 10: 3319349171 ISBN 13: 9783319349176
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides a concise and unique overview of hypothesis testing in four important statistical subject areas: linear and nonlinear models, multivariate analysis, and large sample theoryShows that all hypotheses are linear or asymptotically so, .