This paper quantifies the diversification potential of timberland investments in a meanvariance framework. The starting point is a broad set of benchmark assets represented by various indexes. Including publicly traded timberland investments in the portfolio does not significantly increase meanvariance efficiency. At first sight, U.S. private equity timberland seems to improve the mean-variance...

The problem of search efficiency through large amount of text data is well-known problem in computer science. We would like to introduce a BST data structure that allows searches through a set of string values, and is optimized for reading and writing large blocks of data. This paper describes the algorithms for insertion, deletion and search of variable-length strings in diskresident trie stru...

In today’s competitive environment, business process reengineering has a great role in improving operational efficiency for most organizations. This paper bases on social network analysis (SNA) as a new approach to work over configurable efficiency for business process reengineering without respect to other factors. Organization is regard as the network where units or actor are as nodes and rel...

Some concern about recently published nonpatient data, plus the fact that some records in the published sample of 600 nonpatients (Exner, 2001) were collected more than 20 years ago, prompted the initiation of a project to develop a new nonpatient sample. In this article, findings are presented for the first 175 participants tested in the new project. It is noted that the data from the new proj...

This paper proposes a reduced rank regression framework for constructing coincident and leading indexes. Based on a formal definition that requires that the first differences of the leading index are the best linear predictor of the first differences of the coincident index, it is shown that the notion of polynomial serial correlation common features can be used to build these composite variabl...