FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Theory and Applications of Statistical Interference Functions

D.L. McLeish, Christopher G. Small
    Product form
      FORMAT: Paperback / softback

      R 1,579.01 Price and availability exclusive to website

      YOU COULD EARN 1,579.01 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Approx. 10 - 15 Business Days
      BUY NOW PAY LATER
      From R 263.16 per month!
      3x monthly payments of R 526.33 with
      4x fortnightly payments of R 394.75 with
      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.
      Format: CONTRIBUTORS: D.L. McLeish, Christopher G. Small EAN: 9780387967202 COUNTRY: United States PAGES: WEIGHT: 249 g HEIGHT: 244 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 1988-06-08 CITY: GENRE: MATHEMATICS / Applied WIDTH: 170 cm SPINE:

      Book Themes:

      Applied mathematics

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      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.
      Format: CONTRIBUTORS: D.L. McLeish, Christopher G. Small EAN: 9780387967202 COUNTRY: United States PAGES: WEIGHT: 249 g HEIGHT: 244 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 1988-06-08 CITY: GENRE: MATHEMATICS / Applied WIDTH: 170 cm SPINE:

      Book Themes:

      Applied mathematics

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account