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Statistical Inference: Theory and Practice (Theory and Decision Library B)

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ISBN 10: 0792307186 / ISBN 13: 9780792307181
Published by Springer, 1991
Condition: Fine Hardcover
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About this Item

Publisher: Kluwer Academic Pub Date of Publication: 1991 Binding: half-leather Edition: First Edition Condition: As New Description: Still in publisher's shrink wrap. Unread copy. This book deals with selected ideas and schemes of statistical inference which are of considerable value in practice. Stress has been laid upon problems of observability and of reducing the information on the empirical phenomena investigaged. The book may also be regarded as a source of unconventional and diversified examples which can be used in teaching and in studying statistics. 320pp. Bookseller Inventory # 3001377

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Bibliographic Details

Title: Statistical Inference: Theory and Practice (...

Publisher: Springer

Publication Date: 1991

Binding: Hardcover

Book Condition: Fine

About this title

Synopsis:

Use and misuse of statistics seems to be the signum temporis of past decades. But nowadays this practice seems slowly to be wearing away, and common sense and responsibility recapturing their position. It is our contention that little by little statistics should return to its starting point, i.e., to formalizing and analyzing empirical phenomena. This requires the reevalu­ ation of many traditions and the rejection of many myths. We hope that our book would go some way towards this aim. We show the sharp conflict between what is needed and what is feasible. Moreover, we show how slender are the links between theory and practice in statistical inference, links which are sometimes no more than mutual inspiration. In Part One we present the consecutive stages of formalization of statistical problems, i.e., the description of the experiment, the presentation of the aim of the investigation, and of the constraints put upon the decision rules. We stress the fact that at each of these stages there is room for arbitrariness. We prove that the links between the real problem and its formal counterpart are often so weak that the solution of the formal problem may have no rational interpretation at the practical level. We give a considerable amount of thought to the reduction of statistical problems.

Language Notes:

Text: English (translation)
Original Language: Polish

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