Point Estimation

Coach your team the right way on taking the complexity out of agile estimation

when certain parameters in the problem tend to limiting values (for example, when the sample size increases indefinitely, the intensity of the noise ap­ proaches zero, etc.) To address the problem of asymptotically optimal estimators consider the following important case. Let X 1, X 2, … , X n be independent observations with the joint probability density !(x,O)

This textbook's significant contribution is the unified derivation of data-assimilation techniques from a common fundamental and optimal starting point, namely Bayes' theorem. Unique for this book is the "top-down" derivation of the assimilation methods. It starts from Bayes theorem and gradually introduces the assumptions and approximations needed to arrive at today's popular data-assimilation methods.

The book serves as a useful resource for researchers at the beginning of their careers, graduate students, practitioners, and enthusiasts working on point cloud technology.

Unlock the power of Function Point Analysis to transform your software estimation accuracy, efficiency.

Learn the fundamental techniques and methodologies for accurate software estimation, from WBS to Cocomo and FPA.