Randomness and Optimal Estimation in Data Sampling
by M. Khoshnevisan, at al.
Publisher: American Research Press 2002
ISBN/ASIN: 1931233683
Number of pages: 63
Description:
The purpose of this book is to postulate some theories and test them numerically. Estimation is often a difficult task and it has wide application in social sciences and financial market. This book has been designed for graduate students and researchers who are active in the area of estimation and data sampling applied in financial survey modeling and applied statistics.
Download or read it online for free here:
Download link
(610KB, PDF)
Similar books
Rethinking the Role of the State in Finance- World Bank Publications
This report synthesizes new and existing evidence on the state's performance as financial sector regulator, overseer, promoter, and owner. It calls on state agencies to provide strong regulation and supervision and ensure healthy competition...
(8890 views)
Financial Numerical Recipes in C++by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
(25519 views)
Mathematical Finance: Introduction to continuous time financial market modelsby Christian-Oliver Ewald - Social Science Electronic Publishing
These are the lecture notes for a course in continuous time finance. Contents: stochastic processes in continuous time, financial market theory, stochastic integration, explicit financial market models, and portfolio optimization.
(14144 views)
Probability for Financeby Patrick Roger - BookBoon
The book is intended to be a technical support for students in finance. Topics: Probability spaces and random variables; Moments of a random variable; Usual probability distributions in financial models; Conditional expectations and Limit theorems.
(13882 views)