Articles liés à Projecting Statistical Functionals
Synopsis
This book unifies a large number of results concerning the quantile function and order statistics. The audience will be statisticians and some probabilists or people using statistics.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Projecting Statistical Functionals (Lecture Notes in Statistics, 160)
Edité par
Springer, 2001
ISBN 10 : 038795239X
ISBN 13 : 9780387952390
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Couverture souple
Vendeur : -OnTimeBooks-, Phoenix, AZ, Etats-Unis
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Etat : good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. N° de réf. du vendeur OTV.038795239X.G
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Projecting Statistical Functionals
Edité par
Springer-Verlag, New York, Berlin, Heidelberg, 2001
ISBN 10 : 038795239X
ISBN 13 : 9780387952390
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Paperback
Vendeur : Munster & Company LLC, ABAA/ILAB, Corvallis, OR, Etats-Unis
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Paperback. Etat : Very Good. New York, Berlin, Heidelberg: Springer-Verlag, 2001. 175 pp. 23.5 x 15.5 cm. Very light rubbing to cover; sunning to spine. Interior is clean and unmarked; binding is firm. Soft Cover. Very Good. 8vo - over 7¾" - 9¾" tall. N° de réf. du vendeur 625076
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Projecting Statistical Functionals
Edité par
Springer New York, Springer New York Apr 2001, 2001
ISBN 10 : 038795239X
ISBN 13 : 9780387952390
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -About 10 years ago I began studying evaluations of distributions of or der statistics from samples with general dependence structure. Analyzing in [78] deterministic inequalities for arbitrary linear combinations of order statistics expressed in terms of sample moments, I observed that we obtain the optimal bounds once we replace the vectors of original coefficients of the linear combinations by the respective Euclidean norm projections onto the convex cone of vectors with nondecreasing coordinates. I further veri fied that various optimal evaluations of order and record statistics, derived earlier by use of diverse techniques, may be expressed by means of projec tions. In Gajek and Rychlik [32], we formulated for the first time an idea of applying projections onto convex cones for determining accurate moment bounds on the expectations of order statistics. Also for the first time, we presented such evaluations for non parametric families of distributions dif ferent from families of arbitrary, symmetric, and nonnegative distributions. We realized that this approach makes it possible to evaluate various func tionals of great importance in applied probability and statistics in different restricted families of distributions. The purpose of this monograph is to present the method of using pro jections of elements of functional Hilbert spaces onto convex cones for es tablishing optimal mean-variance bounds of statistical functionals, and its wide range of applications. This is intended for students, researchers, and practitioners in probability, statistics, and reliability. 192 pp. Englisch. N° de réf. du vendeur 9780387952390
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Projecting Statistical Functionals
Edité par
Springer New York, 2001
ISBN 10 : 038795239X
ISBN 13 : 9780387952390
Ancien ou d'occasion
Couverture souple
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | About 10 years ago I began studying evaluations of distributions of or der statistics from samples with general dependence structure. Analyzing in [78] deterministic inequalities for arbitrary linear combinations of order statistics expressed in terms of sample moments, I observed that we obtain the optimal bounds once we replace the vectors of original coefficients of the linear combinations by the respective Euclidean norm projections onto the convex cone of vectors with nondecreasing coordinates. I further veri fied that various optimal evaluations of order and record statistics, derived earlier by use of diverse techniques, may be expressed by means of projec tions. In Gajek and Rychlik [32], we formulated for the first time an idea of applying projections onto convex cones for determining accurate moment bounds on the expectations of order statistics. Also for the first time, we presented such evaluations for non parametric families of distributions dif ferent from families of arbitrary, symmetric, and nonnegative distributions. We realized that this approach makes it possible to evaluate various func tionals of great importance in applied probability and statistics in different restricted families of distributions. The purpose of this monograph is to present the method of using pro jections of elements of functional Hilbert spaces onto convex cones for es tablishing optimal mean-variance bounds of statistical functionals, and its wide range of applications. This is intended for students, researchers, and practitioners in probability, statistics, and reliability. N° de réf. du vendeur 736210/202
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Projecting Statistical Functionals (Lecture Notes in Statistics, 160)
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Etat : New. In English. N° de réf. du vendeur ria9780387952390_new
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Projecting Statistical Functionals
Edité par
Springer New York, 2001
ISBN 10 : 038795239X
ISBN 13 : 9780387952390
Neuf
Kartoniert / Broschiert
Vendeur : moluna, Greven, Allemagne
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book presents a method of establishing explicit solutions to classical problems of calculating the best lower and upper mean-variance bounds. The following families of distributions are taken into account: arbitrary, symmetric, symmetric unimodal, a. N° de réf. du vendeur 5912414
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Projecting Statistical Functionals
Vendeur : Books Puddle, Woodside, NY, Etats-Unis
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Etat : New. pp. 192. N° de réf. du vendeur 263893004
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Projecting Statistical Functionals
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - About 10 years ago I began studying evaluations of distributions of or der statistics from samples with general dependence structure. Analyzing in [78] deterministic inequalities for arbitrary linear combinations of order statistics expressed in terms of sample moments, I observed that we obtain the optimal bounds once we replace the vectors of original coefficients of the linear combinations by the respective Euclidean norm projections onto the convex cone of vectors with nondecreasing coordinates. I further veri fied that various optimal evaluations of order and record statistics, derived earlier by use of diverse techniques, may be expressed by means of projec tions. In Gajek and Rychlik [32], we formulated for the first time an idea of applying projections onto convex cones for determining accurate moment bounds on the expectations of order statistics. Also for the first time, we presented such evaluations for non parametric families of distributions dif ferent from families of arbitrary, symmetric, and nonnegative distributions. We realized that this approach makes it possible to evaluate various func tionals of great importance in applied probability and statistics in different restricted families of distributions. The purpose of this monograph is to present the method of using pro jections of elements of functional Hilbert spaces onto convex cones for es tablishing optimal mean-variance bounds of statistical functionals, and its wide range of applications. This is intended for students, researchers, and practitioners in probability, statistics, and reliability. N° de réf. du vendeur 9780387952390
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Projecting Statistical Functionals
impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Etat : New. Print on Demand pp. 192 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 5036243
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Projecting Statistical Functionals
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 192. N° de réf. du vendeur 183892998
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