Volume 11, Issue 3 (2015) | Journal of Mathematics and Statistics

Characterizations for the Power Inverse Gaussian and Generalized Inverse Gaussian Distributions Based on Conditional Moments

Abdullah Yahia Al-Hossain — 2015-11-23

Journal of Mathematics and Statistics, Published online: 23 November 2015; doi:10.3844/jmssp.2015.70.74

In this study, we characterize the power inverse Gaussian and generalized inverse Gaussian distributions based on recurrence relations for conditional moments in terms of hazard rate functions. Relati...

Optimal Ordering Policy with Stock-Dependent Demand Rate Under Retailer’s Two Stages Trade Credit Financing Using Discounted Cash Flow (DCF) Approach

Rakesh Prakash Tripathi — 2015-11-18

Journal of Mathematics and Statistics, Published online: 18 November 2015; doi:10.3844/jmssp.2015.75.87

Many researchers have assumed one stage trade credit financing. In this study, we considered two levels of trade credit policy using Discounted Cash Flow (DCF) approach. Demand rate is considered to b...

Nonlinear Piecewise-Defined Difference Equations with Reciprocal Quadratic Terms

Ramadan Sabra — 2015-11-18

Journal of Mathematics and Statistics, Published online: 18 November 2015; doi:10.3844/jmssp.2015.88.92

In this study we consider the several types of piece-wise defined sequences. We prove some results concerning the behavior of the sequence. In some cases we prove that the terms repeat themselves in c...

Jute Production in Bangladesh: A Time Series Analysis

Md. Moyazzem Hossain — 2015-12-06

Journal of Mathematics and Statistics, Published online: 6 December 2015; doi:10.3844/jmssp.2015.93.98

Jute is called the Golden Fiber of Bangladesh. Bangladesh is currently the second largest producer of jute fiber. Bangladesh falls behind its other competitors in applying recent technological advance...

Optimization of Penalty Parameter in Penalized Nonlinear Canonical Correlation Analysis by using Cross-Validation

Isamu Nagai — 2015-12-22

Journal of Mathematics and Statistics, Published online: 22 December 2015; doi:10.3844/jmssp.2015.99.106

There is Canonical Correlation Analysis (CCA) as a way to find a linear relationship between a pair of random vectors. However, CCA cannot find a nonlinear relationship between them since the method m...