Jan Salomon Cramer (23 results)

Tapa Blanda. Condition: Con signos de uso.

Hardcover. Condition: USED Good.

Condition: New.

Paperback. Condition: New. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.

1962 Edition. Fine cloth copy in a good if somewhat edge-nicked and dust-dulled dw, now mylar-sleeved. Remains particularly and surprisingly well-preserved overall; tight, bright, clean and strong. ; 80 pages; Description: xi, 80 p. Diagrs. , tables. 25 cm. Subjects: Consumers--Mathematical models. Durable goods, Consumer. 3 Kg.

Gebundene Ausgabe. Condition: Gut. 221 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch Gewicht in Gramm: 469.

Hardcover. Condition: Good. Torn/worn dj. Good hardcover with some shelfwear; may have previous owner's name inside. Standard-sized.

Condition: New. In.

Softcover. Condition: Gut. Cambridge UP (1989). XIII, 208 p. Pbck. (back faded).- Few pages with pencil-underlinings.

1962 Edition. Fine cloth copy in a good if somewhat edge-nicked and dust-dulled dw, now mylar-sleeved. Remains particularly and surprisingly well-preserved overall; tight, bright, clean and strong. ; 80 pages; Description: xi, 80 p. Diagrs. , tables. 25 cm. Subjects: Consumers--Mathematical models. Durable goods, Consumer. 1 Kg.

Condition: New. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before. Num Pages: 224 pages, 2 tables, 6 line diagrams, index. BIC Classification: KCH. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 13. Weight in Grams: 340. . 2008. Revised ed. paperback. . . . .

Condition: New. pp. 224.

Condition: New. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before. Num Pages: 224 pages, 2 tables, 6 line diagrams, index. BIC Classification: KCH. Category: (U) Tertiary Education (US: College). Dimension: 228 x 152 x 13. Weight in Grams: 340. . 2008. Revised ed. paperback. . . . . Books ship from the US and Ireland.

Paperback. Condition: New. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own.

Taschenbuch. Condition: Gut. nice book ex Library Sprache: Englisch Gewicht in Gramm: 550.

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

Paperback. Condition: new. Paperback. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condition: New. Print on Demand pp. 224 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 224.

Paperback. Condition: new. Paperback. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. The estimation and testing of these more intricate models is usually based on the method of Maximum Likelihood, which is a well-established branch of mathematical statistics. Its use in econometrics has led to the development of a number of special techniques; the specific conditions of econometric research moreover demand certain changes in the interpretation of the basic argument. This book is a self-contained introduction to this field. It consists of three parts. The first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete choice and related micro-economic models. Readers should already be familiar with elementary statistical theory, with applied econometric research papers, or with the literature on the mathematical basis of Maximum Likelihood theory. They can also try their hand at some advanced econometric research of their own. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The advent of electronic computing permits the empirical analysis of economic models of far greater subtlety and rigour than before, when many interesting ideas were not followed up because the calculations involved made this impracticable.Klappente.