9780899305714 - Ordinal Time Series Analysis: Methodology and Applications in Management Strategy and Policy (Ic2 Management and Management Science Series) (17 resultados)

Hardcover. Condición: Very Good. Estado de la sobrecubierta: Very Good. First Edition. CE6 - A first edition (First published 1990 stated with complete numberline) hardcover book in very good condition in very good dust jacket. Dust jacket has some wrinkling, chipping, crease and few tears on the edges and corners, some scattered scratches and scuffing, light tanning and shelf wear. Book has some bumped corners light discoloration and shelf wear. The IC2 Management and Management Science Series, W. Cooper and George Kozmetsky, Series Editors. 9.5"x6.5", 266 pages. Satisfaction Guaranteed. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. Particularly useful for managers who seek a reliable and accessible means of analyzing the strategic performance of firms, products, industries, or political entities, the ordinal time series approach uses simple data, longitudinal analysis, and rank positions to produce results that more accurately reflect the dynamics of competitive position and corporate performance than those generated by more traditional methods which rely on absolute numbers and complicated analyses. The level of mathematical sophistication required is that of college introductory mathematics for business, making the methodology widely accessible. The contributors explain how to use the methodology and how to collect the appropriate data, review the statistical procedures involved, and examine numerous real-world applications of ordinal time series analysis. The book begins by introducing the notion of formalizing managerial intuition about strategic situations by employing rankings over time to describe the performance of products, firms, and departments, for example. Having established the advantages of using ordinal data, the contributors illustrate the use of rank statistics and show how to incorporate uncertain aspects of strategic situations in an ordinal context. A separate chapter covers information statistics that describe the aggregate behavior of a group of organizations over time. The contributors then present a series of examples demonstrating the wide applicability of ordinal time series analysis to various types of situations. Included are an analysis of the transportation industry over a 30-year period, an ordinal analysis of corporate performance, the application of ordinal analysis to the problem of product strategy, a look at world export activity, and an examination of international competition in the microelectronics industry. Throughout, particular attention is given to providing the reader with the background and information necessary to successfully employ ordinal time series methodology in his or her own environment. Size: 8vo - over 7¾" - 9¾" tall.

Hardcover. Condición: Fine. Estado de la sobrecubierta: Very Good. Hardback in fine condition with very good minus dust jacket.

Condición: New.

Condición: New. pp. 280 Index.

Condición: New. In.

Hardcover. Condición: Brand New. 280 pages. 9.60x6.40x1.00 inches. In Stock.

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HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Print on Demand pp. 280 9:B&W 6 x 9 in or 229 x 152 mm Case Laminate on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 280.

Hardcover. Condición: new. Hardcover. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. Particularly useful for managers who seek a reliable and accessible means of analyzing the strategic performance of firms, products, industries, or political entities, the ordinal time series approach uses simple data, longitudinal analysis, and rank positions to produce results that more accurately reflect the dynamics of competitive position and corporate performance than those generated by more traditional methods which rely on absolute numbers and complicated analyses. The level of mathematical sophistication required is that of college introductory mathematics for business, making the methodology widely accessible. The contributors explain how to use the methodology and how to collect the appropriate data, review the statistical procedures involved, and examine numerous real-world applications of ordinal time series analysis.The book begins by introducing the notion of formalizing managerial intuition about strategic situations by employing rankings over time to describe the performance of products, firms, and departments, for example. Having established the advantages of using ordinal data, the contributors illustrate the use of rank statistics and show how to incorporate uncertain aspects of strategic situations in an ordinal context. A separate chapter covers information statistics that describe the aggregate behavior of a group of organizations over time. The contributors then present a series of examples demonstrating the wide applicability of ordinal time series analysis to various types of situations. Included are an analysis of the transportation industry over a 30-year period, an ordinal analysis of corporate performance, the application of ordinal analysis to the problem of product strategy, a look at world export activity, and an examination of international competition in the microelectronics industry. Throughout, particular attention is given to providing the reader with the background and information necessary to successfully employ ordinal time series methodology in his or her own environment. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: new. Hardcover. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. Particularly useful for managers who seek a reliable and accessible means of analyzing the strategic performance of firms, products, industries, or political entities, the ordinal time series approach uses simple data, longitudinal analysis, and rank positions to produce results that more accurately reflect the dynamics of competitive position and corporate performance than those generated by more traditional methods which rely on absolute numbers and complicated analyses. The level of mathematical sophistication required is that of college introductory mathematics for business, making the methodology widely accessible. The contributors explain how to use the methodology and how to collect the appropriate data, review the statistical procedures involved, and examine numerous real-world applications of ordinal time series analysis.The book begins by introducing the notion of formalizing managerial intuition about strategic situations by employing rankings over time to describe the performance of products, firms, and departments, for example. Having established the advantages of using ordinal data, the contributors illustrate the use of rank statistics and show how to incorporate uncertain aspects of strategic situations in an ordinal context. A separate chapter covers information statistics that describe the aggregate behavior of a group of organizations over time. The contributors then present a series of examples demonstrating the wide applicability of ordinal time series analysis to various types of situations. Included are an analysis of the transportation industry over a 30-year period, an ordinal analysis of corporate performance, the application of ordinal analysis to the problem of product strategy, a look at world export activity, and an examination of international competition in the microelectronics industry. Throughout, particular attention is given to providing the reader with the background and information necessary to successfully employ ordinal time series methodology in his or her own environment. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form.&Uumlber d.

Buch. Condición: Neu. Ordinal Time Series Analysis | Methodology and Applications in Management Strategy and Policy | Timothy Ruefli | Buch | Gebunden | Englisch | 1990 | Praeger | EAN 9780899305714 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Written for corporate strategic planners and market researchers as well as students of management, this book offers the most complete introduction to the methodology and applications of ordinal time series analysis available in book form. Particularly useful for managers who seek a reliable and accessible means of analyzing the strategic performance of firms, products, industries, or political entities, the ordinal time series approach uses simple data, longitudinal analysis, and rank positions to produce results that more accurately reflect the dynamics of competitive position and corporate performance than those generated by more traditional methods which rely on absolute numbers and complicated analyses. The level of mathematical sophistication required is that of college introductory mathematics for business, making the methodology widely accessible. The contributors explain how to use the methodology and how to collect the appropriate data, review the statistical procedures involved, and examine numerous real-world applications of ordinal time series analysis.The book begins by introducing the notion of formalizing managerial intuition about strategic situations by employing rankings over time to describe the performance of products, firms, and departments, for example. Having established the advantages of using ordinal data, the contributors illustrate the use of rank statistics and show how to incorporate uncertain aspects of strategic situations in an ordinal context. A separate chapter covers information statistics that describe the aggregate behavior of a group of organizations over time. The contributors then present a series of examples demonstrating the wide applicability of ordinal time series analysis to various types of situations. Included are an analysis of the transportation industry over a 30-year period, an ordinal analysis of corporate performance, the application of ordinal analysis to the problem of product strategy, a look at world export activity, and an examination of international competition in the microelectronics industry. Throughout, particular attention is given to providing the reader with the background and information necessary to successfully employ ordinal time series methodology in his or her own environment.