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Books > Science & Mathematics > Mathematics > Probability & statistics
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Ordinal Time Series Analysis - Methodology and Applications in Management Strategy and Policy (Hardcover, New)
Loot Price: R2,110
Discovery Miles 21 100
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Ordinal Time Series Analysis - Methodology and Applications in Management Strategy and Policy (Hardcover, New)
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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 applicabilityof 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.
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