Read Anywhere and on Any Device!

Special Offer | $0.00

Join Today And Start a 30-Day Free Trial and Get Exclusive Member Benefits to Access Millions Books for Free!

Read Anywhere and on Any Device!

  • Download on iOS
  • Download on Android
  • Download on iOS

Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15)

M.M. Rao
4.9/5 (20507 ratings)
Description:This book presents a complete mathematical treatment of classical inference theory (Neyman-Pearson, Fisher, and Wald) from the point of using it in stochastic processes, including some generalizations. It includes detailed analysis of likelihood ratios for both Gaussian and several other classes (infinitely divisible, jump Markov, diffusion and additive). Both linear and nonlinear filtering (also for general nonquadratic criteria) are treated. The corresponding Kalman-Bucy filters for continuous parameter processes are presented. Consistency and limit distributions of estimations of biospectral densities of harmonizable processes are given. Audience: Researchers and graduate students working in mathematics, statistics, and systems and communication engineering.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15). To get started finding Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN

Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15)

M.M. Rao
4.4/5 (1290744 ratings)
Description: This book presents a complete mathematical treatment of classical inference theory (Neyman-Pearson, Fisher, and Wald) from the point of using it in stochastic processes, including some generalizations. It includes detailed analysis of likelihood ratios for both Gaussian and several other classes (infinitely divisible, jump Markov, diffusion and additive). Both linear and nonlinear filtering (also for general nonquadratic criteria) are treated. The corresponding Kalman-Bucy filters for continuous parameter processes are presented. Consistency and limit distributions of estimations of biospectral densities of harmonizable processes are given. Audience: Researchers and graduate students working in mathematics, statistics, and systems and communication engineering.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15). To get started finding Stochastic Processes - Inference Theory (Springer Monographs in Mathematics) by Malempati M. Rao (2014-11-15), you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN

More Books

loader