Johnson's approximate method for the 3 × n job shop problem

The effectiveness of Johnson's Approximate Method (JAM) for the 3 × n job shop scheduling problems was examined on 1,500 test cases with n ranging from 6 to 50 and with the processing times A_i, B_i, C_i (for item i on machines A, B, C) being uniformly and normally distributed. JAM proved to be quite effective for the case B_i ? max (A_i, C_i) and optimal for B_i, ? min (A_i, C_i).     

Computational aspects in multistage bayesian acceptance sampling

Simple criteria are found for reducing the computational effort in multistage Bayesian acceptance sampling. Regions of optimality are given for both terminal actions accept and reject. Also, criteria are presented for detecting nonoptimality of sets of sample sizes. Finally, nearly optimal (z,c^?,c⁺)-sampling plans are constructed by restricting attention to a small subset of sample sizes.     

Bayesian estimation and optimal designs in partially accelerated life testing

A method of life testing is proposed which combines both ordinary and accelerated life-testing procedures. It is assumed that an item can be tested either in a standard environment or under stress. The amount of stress is fixed in advance and is the same for all items to be tested However, the time x at which an item on lest is taken out of the standard environment and put under stress can be chosen by the experimenter subject to a given cost structure. When an item is put under stress its lifetime is changed by the factor α. Let the random variable T denote the lifetime of an item in the standard environment, and let γ denote its lifetime under the partially accelerated test procedure just described. Then Y = T if T ≦ x, and Y = x + α (T > x) if T > x. It is assumed that T has an exponential distribution with parameter θ. The estimation of θ and α and the optimal design of a partially accelerated life test are studied in the framework of Bayesian decision theory.     

Some bayes tests and their asymptotic properties for the multivariate,multisample goodness-of-fit problem

Independent samples are taken from C multivariate populations with continuous but unknown cumulative distribution function c.d.f.). The problem is to test the hypothesis that the C population c.d.f's are identical to a specified c.d.f. We approach this problem by first transforming the data so that the hypothesis being tested is that the common distribution is uniform over a unit hypercube. We then construct some Bayes tests and investigate their asymptotic properties. These tests are based on the asymptotic normality of the number of observations falling in the “asymptotically sufficient groupings”.     

A recursive algorithm for a summed multinomial density function

An algorithm for calculating the probabilities of a summed multinomial density function which is recursive with n (the number of trials) is presented. Having application in inspector error models for auditing and quality control problems with Cartesian product structures, the algorithm is discussed in the context of computing optimal economic sampling plans. Computational experience with the algorithm is presented.     

On single-machine sequencing with order constraints

A collection of jobs is to be processed by a single machine. Each job has a cost function associated with it which may be either linear or exponential, costs accruing when a job is completed. The machine may be allocated to the jobs according to a precedence relation. The problem is to find a strategy for allocating the machine which minimizes the total cost and which is consistent with the precedence relation. The paper extends and simplifies some previous work done by Sidney.     

Decision costs in the intelligence cycle

John Terraine, The Smoke and the Fire: Myths and Anti‐Myths of War 1861–1945. London: Sidgwick &; Jackson, 1980. Pp. 240; £8.95.

Stephen Roskill, Admiral of the Fleet: Earl Beatty. London: Collins,1980. Pp. 430; £12.95.

Peter and Leni Gillman, ’Collar the Lot’. How Britain Interned and Expelled its Wartime Refugees. London: Quartet Books, 1980. Pp. 314; £8.95.

Frederic A. Bergerson, The Army Gels An Air Force: Tactics of Insurgent Bureaucratic Politics. Baltimore and London: The Johns Hopkins University Press, 1980. Pp. xiii + 216; £8.50.

Christoph Bertram (ed), Prospects of Soviet Power in the 1980s. London: Macmillan, and IISS, 1980. Pp. 126; £15.

James M. Roherty (ed.), Defense Policy Formulation: Towards Comparative Analysis. Durham, NC: Carolina Academic Press, 1980. Pp. 315; $14.95.

Franklyn Griffiths and John C. Dolanyi, The Dangers of Nuclear War. Toronto: University of Toronto Press, 1979. $15.00.

Kenneth Mackenzie, Turkey under the Generals. London: Institute for the Study of Conflict, Conflict Studies. Number 126, January 1981. Pp. 31.     

The myth of Afghan electoral democracy: the irregularities of the 2014 presidential election

ABSTRACT

This article systematically assesses the 2014 Afghanistan Presidential Election, the first transfer of power from President Hamid Karzai to an elected successor, using provincial voting data as well as explicit data from polling centers. The analysis finds unusual voting results in the April election, where no candidate received 50%+1 votes required by the Afghan constitution, versus the voting results realized for the June ‘runoff election.’ As in other Afghan voting analyses, this article finds voting based on ethno-linguistic preferences, and interestingly found Dr. Ashraf Ghani receiving almost all the swing votes in the runoff election even though the other leading candidate from the April election all endorsed Dr. Abdullah Abdullah. More importantly, however, the research presented here clearly finds extremely strange voting patterns. For example, the polling data center analysis finds 606 polling places where Ghani received all 600 votes and Abdullah received none and another 900 polling centers that gave virtually all its votes to Ghani. These results in combination with other analyses raise the very real possibility that the election results were illegitimate. The article concludes with a discussion of the implications of the research to future Afghan elections and their processes as well as to the long-standing conflict in the country.