Logo

Randomness and Optimal Estimation in Data Sampling

Small book cover: Randomness and Optimal Estimation in Data Sampling

Randomness and Optimal Estimation in Data Sampling
by

Publisher: American Research Press
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

Book cover: Portfolio Theory and Financial AnalysesPortfolio Theory and Financial Analyses
by - BookBoon
The book evaluates Modern Portfolio Theory for future study. We learn why anybody with the software and a reasonable financial education can model portfolios. We learn why investors and not their computers should always interpret their results.
(15512 views)
Book cover: Analysis and Linear Algebra for FinanceAnalysis and Linear Algebra for Finance
by - Bookboon
These volumes present the elements of analysis and linear algebra used in financial models and in microeconomics. Functions and matrices are developed in part I and vector spaces, linear mappings and optimization methods are developed in part II.
(14435 views)
Book cover: Strategic Financial ManagementStrategic Financial Management
by - BookBoon
In a world of political, social and economic uncertainty, Strategic Financial Management is under pressure. This book reviews the subject within the context of current events. Each chapter contains Activities to test understanding at your own pace.
(23042 views)
Book cover: Mathematical Finance: Introduction to continuous time financial market modelsMathematical Finance: Introduction to continuous time financial market models
by - 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.
(16589 views)