Madansky albert (24 resultados)

Hardcover. Condición: Near Fine. Hardcover in excellent, unmarked, next-to-pristine condition (slightest handling). 295 pages. [1.4 lbs]. Book.

Pamphlet. Condición: Very Good. Vol 4, No 1, pp. 75-95, Extracted from orig vol, begins with title page, trimmed & stapled, thus is like a pamphlet, VG.

hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Cover a bit rubbed; spine tape; G, unmarked 6" x 9" Paperback. viii + 266 pp.

Hardcover. Condición: Near Fine. hardback book in near fine condition,name stamped on page edges.

Condición: very good. Amsterdam : North-Holland. 1976. Hardcover. viii,266 pp. (Advanced textbooks in economics, 7). Library stamps. ELse very good & clean. Condition : very good copy. ISBN 9780444109064. Keywords : .

Condición: New.

Pappband. Condición: Gut. 25 cm Springer Texts in Statistics. XVIII, 295 S. Orig.-Pappband. With 25 Illustrations. Gutes Exemplar. Aufgrund der EPR-Regelung zur Zeit KEIN Versand in EU-Länder. Due to EPR, there is currently no delivery to EU-countries.

PF. Condición: New.

Condición: New. In English.

Paperback. Condición: Brand New. reprint edition. 314 pages. 9.25x6.10x0.73 inches. In Stock.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The first course in statistics, no matter how 'good' or 'long' it is, typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. For example, students are taught about regression procedures valid only if the true residuals are independent, homoscedastic, and normally distributed. But they do not learn how to check for indepen dence, homoscedasticity, or normality, and certainly do not learn how to adjust their data and/or model so that these assumptions are met. To help this student out! I designed a second course, containing a collec tion of statistical diagnostics and prescriptions necessary for the applied statistician so that he can deal with the realities of inference from data, and not merely with the kind of classroom problems where all the data satisfy the assumptions associated with the technique to be taught. At the same time I realized that I was writing a book for a wider audience, namely all those away from the classroom whose formal statistics education ended with such a course and who apply statistical techniques to data.…

Paperback. Condición: Brand New. 274 pages. 9.00x6.00x0.65 inches. In Stock.

hardcover. Condición: Good. Good. Dust Jacket NOT present. CD WILL BE MISSING. . SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condición: Acceptable. Ex-library book, usual marking. Clean copy in good condition. Some marking due to age on pages, but overall book remains in good condition considering age. Quick dispatch from UK seller.

Condición: New.

Condición: New. In English.

Condición: New.

Hardcover. Condición: Brand New. 459 pages. 9.75x6.50x1.25 inches. In Stock.

Hardcover. Condición: new. New Copy. Customer Service Guaranteed.

Condición: new. Questo è un articolo print on demand.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The first course in statistics, no matter how good or long it is, typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. For example, students are taught about regression procedures valid onl.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The first course in statistics, no matter how 'good' or 'long' it is, typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. For example, students are taught about regression procedures valid only if the true residuals are independent, homoscedastic, and normally distributed. But they do not learn how to check for indepen dence, homoscedasticity, or normality, and certainly do not learn how to adjust their data and/or model so that these assumptions are met. To help this student out! I designed a second course, containing a collec tion of statistical diagnostics and prescriptions necessary for the applied statistician so that he can deal with the realities of inference from data, and not merely with the kind of classroom problems where all the data satisfy the assumptions associated with the technique to be taught. At the same time I realized that I was writing a book for a wider audience, namely all those away from the classroom whose formal statistics education ended with such a course and who apply statistical techniques to data. 320 pp. Englisch. …

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The first course in statistics, no matter how 'good' or 'long' it is, typically covers inferential procedures which are valid only if a number of preconditions are satisfied by the data. For example, students are taught about regression procedures valid only if the true residuals are independent, homoscedastic, and normally distributed. But they do not learn how to check for indepen dence, homoscedasticity, or normality, and certainly do not learn how to adjust their data and/or model so that these assumptions are met. To help this student out! I designed a second course, containing a collec tion of statistical diagnostics and prescriptions necessary for the applied statistician so that he can deal with the realities of inference from data, and not merely with the kind of classroom problems where all the data satisfy the assumptions associated with the technique to be taught. At the same time I realized that I was writing a book for a wider audience, namely all those away from the classroom whose formal statistics education ended with such a course and who apply statistical techniques to data.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch. …