Randomness and Optimal Estimation in Data Sampling
by M. Khoshnevisan, at al.
Publisher: American Research Press 2002
Number of pages: 63
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:
by Sandy Hager - University of California Press
This book is the first comprehensive historical analysis of public debt ownership in the United States. It reveals that ownership of federal bonds has been increasingly concentrated in the hands of the 1 percent over the last three decades.
by Alexander Vervuurt - arXiv
Stochastic Portfolio Theory is a framework in which the normative assumptions from classical financial mathematics are not made, but in which one takes a descriptive approach to studying properties of markets that follow from empirical observations.
by Kevin P. Gallagher - Cornell University Press
Gallagher demonstrates how several emerging market and developing countries managed to reregulate cross-border financial flows in the wake of the global financial crisis despite the political and economic difficulty of doing so at the national level.
by Marco Mongiello - BookBoon
The author explains the informational value of an annual report under the IFRS (International Financial Reporting Standards). Topics as the Balance sheet, Income statement, Cash flow statement and Statement of changes in equity are explained.