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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
The Theory and Applications of Statistical Interference Functions

The Theory and Applications of Statistical Interference Functions

McLeish, D. L.
Small, Christopher G.

Paperback

Series: Lecture Notes in Statistics, Book 44

General GardeningGeneral MathematicsProbability & Statistics

ISBN10: 0387967206
ISBN13: 9780387967202
Publisher: Springer
Published: Jun 8 1988
Pages: 124
Weight: 0.50
Height: 0.29 Width: 6.69 Depth: 9.61
Language: English
This monograph arose out of a desire to develop an approach to statistical infer- ence that would be both comprehensive in its treatment of statistical principles and sufficiently powerful to be applicable to a variety of important practical problems. In the latter category, the problems of inference for stochastic processes (which arise com- monly in engineering and biological applications) come to mind. Classes of estimating functions seem to be promising in this respect. The monograph examines some of the consequences of extending standard concepts of ancillarity, sufficiency and complete- ness into this setting. The reader should note that the development is mathematically mature in its use of Hilbert space methods but not, we believe, mathematically difficult. This is in keeping with our desire to construct a theory that is rich in statistical tools for infer- ence without the difficulties found in modern developments, such as likelihood analysis of stochastic processes or higher order methods, to name but two. The fundamental notions of orthogonality and projection are accessible to a good undergraduate or beginning graduate student. We hope that the monograph will serve the purpose of enriching the methods available to statisticians of various interests.

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