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Can I read Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics) on EtoBox?
Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics) by Michael L. Stein (auth.) is a nonfiction available to read on EtoBox.
What is Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics) about?
Prediction Of A Random Field Based On Observations Of The Random Field At Some Set Of Locations Arises In Mining, Hydrology, Atmospheric Sciences, And Geography. Kriging, A Prediction Scheme Defined As Any Prediction Scheme That Minimizes Mean Squared Prediction Error Among Some Class Of Predictors Under A Particular Model For The Field, Is Commonly Used In All These Areas Of Prediction. This Book Summarizes Past Work And Describes New Approaches To Thinking About Kriging. Introduction -- Properties Of Random Fields -- Asymptotic Properties Of Linear Predictors -- Equivalence Of Gaussian Measures And Linear Prediction -- Integration Of Random Fields -- Estimating Parameters Of Autocovariance Functions -- Discussion. By Michael L. Stein.
Who reads Interpolation of Spatial Data: Some Theory for Kriging (Springer Series in Statistics)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Michael L. Stein (auth.)
- Publisher
- Springer-Verlag New York
- Published
- 1999
- Language
- EN
- ISBN
- 9780387986296
- Category
- nonfiction
- Subjects
- Mathematics, Engineering, Science
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