L Simar (23 results)

Condition: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,850grams, ISBN:9783642172281.

Broché. Condition: Bon État. 40 pages en format 16 - 24 cm - exercices.

broché Bristol. Condition: Bon État. 93 pages en format 16 - 24 cm.

Condition: New. In English.

PF. Condition: New.

Condition: New. pp. 220.

Couverture souple. Condition: Bon. Coillection "Recyclage en statistique", n°2.

Paperback. Condition: Brand New. 204 pages. 9.10x6.10x0.40 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . - ARMA forms for time-series. etc . - but are at the same time afraid of venturing into the jungle of less familiar models. The prob lem of the justification for taking up one model rather than another one is thus a crucial one. and can take different forms. (a) ~~~ Pds. ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. g. one which takes account of outliers). or do they render plau sible a choice from among different proposed models (e. g. fixing or not the value of a certai n parameter) (b) tlQ~~L~~l!rQ1!iIMHQ~ : How is it possible to compute a 'distance' between a given model and a less (or more) sophisticated one. and what is the technical meaning of such a 'distance' (c) BQe~~~~~~ : To what extent do the qualities of a procedure. well adapted to a 'small' model. deteriorate when this model is replaced by a more general one This question can be considered not only. as usual. in a parametric framework (contamina tion) or in the extension from parametriC to non parametric models but also.…

hardcover. Condition: As New. Unmarked hardcover. Pristine copy.

Couverture souple. Condition: bon. R320042173: 2011. In-8. Broché. Bon état, Couv. convenable, Dos satisfaisant, Intérieur frais. 310 pages - quelques dessisn en noir in texte - Bandeau Editeur cosnervé. . . . Classification Dewey : 843.0876-La science-fiction. Collectif (illustrator).

Condition: New. pp. 272.

Condition: New. pp. 272.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . - ARMA forms for time-series. etc . - but are at the same time afraid of venturing into the jungle of less familiar models. The prob lem of the justification for taking up one model rather than another one is thus a crucial one. and can take different forms. (a) ~~~ Pds. ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. g. one which takes account of outliers). or do they render plau sible a choice from among different proposed models (e. g. fixing or not the value of a certai n parameter) (b) tlQ~~L~~l!rQ1!iIMHQ~ : How is it possible to compute a 'distance' between a given model and a less (or more) sophisticated one. and what is the technical meaning of such a 'distance' (c) BQe~~~~~~ : To what extent do the qualities of a procedure. well adapted to a 'small' model. deteriorate when this model is replaced by a more general one This question can be considered not only. as usual. in a parametric framework (contamina tion) or in the extension from parametriC to non parametric models but also. 220 pp. Englisch.…

Condition: New. Print on Demand pp. 220 Illus.

Condition: New. PRINT ON DEMAND pp. 188.

Condition: New. PRINT ON DEMAND pp. 220.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proceedings of the Second Franco-Belgian Meeting of Statisticians, held in Louvain-la-Neuve, Belgium, October 15-16, 1981During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathem.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -During the last decades. the evolution of theoretical statistics has been marked by a considerable expansion of the number of mathematically and computationaly trac table models. Faced with this inflation. applied statisticians feel more and more un comfortable: they are often hesitant about their traditional (typically parametric) assumptions. such as normal and i. i. d . ¿ ARMA forms for time-series. etc . ¿ but are at the same time afraid of venturing into the jungle of less familiar models. The prob lem of the justification for taking up one model rather than another one is thus a crucial one. and can take different forms. (a) ~~~£ifi~~~iQ~ : Do observations suggest the use of a different model from the one initially proposed (e. g. one which takes account of outliers). or do they render plau sible a choice from among different proposed models (e. g. fixing or not the value of a certai n parameter) (b) tlQ~~L~~l!rQ1!iIMHQ~ : How is it possible to compute a 'distance' between a given model and a less (or more) sophisticated one. and what is the technical meaning of such a 'distance' (c) BQe~~~~~~ : To what extent do the qualities of a procedure. well adapted to a 'small' model. deteriorate when this model is replaced by a more general one This question can be considered not only. as usual. in a parametric framework (contamina tion) or in the extension from parametriC to non parametric models but also.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 220 pp. Englisch. …

Condition: New. Print on Demand pp. 272 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Condition: New. Print on Demand pp. 272 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 272.

Condition: New. PRINT ON DEMAND pp. 272.