Several countries of the world are involved in mutual and collaborative business
of military equipments, weapons in terms of their production, sales, technical
maintenance, training and services. As a consequence, manufacturing of boms, rockets,
missiles and other ammunitions have taken structured and smooth shape to help others
where and when needed. Often the military support among countries remain open for
information to the media, but sometime remain secret due to the national security and
international political pressure. Such phenomenon (hidden or open support ) is a part of
military supply chain and could be modeled like a Petersen graph considering vertices as
countries and edges as economic bonds. For a large graphical structure, without
sampling, it is difficult to find out average economic bonding (open & secret)
between any pair of countries involved in the military business or support. This paper
presents a sample based estimation methodology for estimating the mean economic bond
value among countries involved in the military support or business. Motivation to the
problem is derived from current Russia-Ukraine war situation and a kind of hidden
support to war by NATO countries. A node sampling procedure is proposed whose bias,
mean-squared error and other properties are derived. Results are supported with
empirical studies. Findings are compared with particular cases and confidence intervals
are used as a basic tool of comparison. Pattern imputation is used together with a new
proposal of CIImputation method who has been proved useful for filling the missing
value, specially when secret economic support data from involved countries found
missing. The current undergoing war between Ukraine and Russia and secret weapon,
economic support from NATO countries is an application of the proposed methodology
contained in this paper. Key words: Graph, Petersen Graph, Estimator, Bias, Mean Squared
Error (MSE), Optimum Choice, Confidence intervals (CI), Nodes (vertices), Pattern
Imputation, CI-Imputation (LLimputation and UL-imputation), Economic Bonds, Military
War, Weapon Support