The Skybolt Crisis of 1962: Muddle or Mischief?

This paper revisits the controversy over the cancellation of the US Skybolt air-launched ballistic missile in 1962. Cancellation provoked an acute crisis in Anglo-US relations, which historians and political scientists on both sides of the Atlantic have generally sought to explain in terms of mis-communication. This approach may be termed the 'muddle' thesis. Other analysts have been more suspicious of British intentions and tactics in the run-up to cancellation - the 'mischief' thesis. In order to assess these interpretations, the paper poses three questions. First, were the British fully informed about what was likely to happen, or just selective listeners to Washington opinion? Second, had the British government really staked its hopes unequivocally on Skybolt, or was it from the outset hedging its bets? And third, how were alternatives to Skybolt evaluated? The flows of information between Washington and London are examined to establish what was known, when, and what other choices were open to the British government.     

The Wilson government and the demise of TSR‐2, October 1964 – April 1965

Domestic factors play an important role in the formulation and evolution of a country's foreign and security policy. This is clearly seen in the case study of a Soviet successor state, Ukraine. The article brings together in seven sections theory with the key domestic factors that influence Ukrainian security policy, such as economics, energy, national identity, elites and political parties. The article provides an insight into how these domestic factors influence the course of Ukrainian security policy which is striking a balance between the twin extremes of Soviet re‐integration, which would be tantamount to the loss of independence, and nationalist maximalism which seeks to place as much distance as possible between Ukraine and Russia.     

Network disconnection problems in a centralized network

We consider three network disconnection problems in a centralized network where a source node provides service to the other nodes, called demand nodes. In network disconnection problems, each demand node gets a certain benefit when connected to a source node and a network attacker destroys edges to prevent demand nodes from achieving benefits. As destroying edges incurs expenses, an attacker considers the following three different strategies. The first is to maximize the sum of benefits of the disconnected nodes while keeping the total edge destruction cost no more than a given budget. The second is to minimize the total destruction cost needed to make a certain amount of benefits not accomplished. The last is to minimize the ratio of the total destruction cost to the benefits not accomplished. In this paper, we develop exact algorithms to solve the above three problems. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

Dynamic proximity calculations for situation awareness

We apply dynamic proximity calculations (density and clustering) from dynamic computational geometry to a military application. The derived proximity information serves as an abstract view of a current situation in the battlefield that can help a military commander achieve situation awareness. We employ Delaunay triangulation as a computational tool in our framework, and study its dynamic update in depth. © 2003 Wiley Periodicals, Inc. Naval Research Logistics, 2004.     

Multivariate meta analysis with potentially correlated marketing study results

A univariate meta analysis is often used to summarize various study results on the same research hypothesis concerning an effect of interest. When several marketing studies produce sets of more than one effect, multivariate meta analysis can be conducted. Problems one might have with such a multivariate meta analysis are: (1) Several effects estimated in one model could be correlated to each other but their correlation is seldom published and (2) an estimated effect in one model could be correlated to the corresponding effect in the other model due to similar model specification or the data set partly shared, but their correlation is not known. Situations like (2) happen often in military recruiting studies. We employ a Monte‐Carlo simulation to evaluate how neglecting such potential correlation affects the result of a multivariate meta analysis in terms of Type I, Type II errors, and MSE. Simulation results indicate that such effect is not significant. What matters is rather the size of the variance component due to random error in multivariate effects. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 500–510, 2000.     

Bayesian inference for a Lanchester type combat model

We undertake inference for a stochastic form of the Lanchester combat model. In particular, given battle data, we assess the type of battle that occurred and whether or not it makes any difference to the number of casualties if an army is attacking or defending. Our approach is Bayesian and we use modern computational techniques to fit the model. We illustrate our method using data from the Ardennes campaign. We compare our results with previous analyses of these data by Bracken and Fricker. Our conclusions are somewhat different to those of Bracken. Where he suggests that a linear law is appropriate, we show that the logarithmic or linear‐logarithmic laws fit better. We note however that the basic Lanchester modeling assumptions do not hold for the Ardennes data. Using Fricker's modified data, we show that although his “super‐logarithmic” law fits best, the linear, linear‐logarithmic, and logarithmic laws cannot be ruled out. We suggest that Bayesian methods can be used to make inference for battles in progress. We point out a number of advantages: Prior information from experts or previous battles can be incorporated; predictions of future casualties are easily made; more complex models can be analysed using stochastic simulation techniques. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 541–558, 2000