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Titlebook: Index Numbers: Essays in Honour of Sten Malmquist; Rolf Färe,Shawna Grosskopf,R. Robert Russell Book 1998 Springer Science+Business Media

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ctice, refine, and master the skills necessary to promote readiness to provide acute medical care to patients when needed. The strengths of IPE simulation are supported by several educational theories discussed in this chapter. Acquisition and retention of knowledge can be described through Miller’s
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Distance Functions in Consumer and Producer Theory,n the application of consumer and producer theory some two decades later.. Sten Malmquist (1953) and Ronald W. Shephard (1953) independently introduced the notion of a distance function (also called a gauge function and a transformation function.) to economists.. In production theory, the (input) di
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Input Price, Quantity, and Productivity Indexes for a Revenue-Constrained Firm, Generally speaking, a firm transforms inputs into outputs. When priced, outputs generate revenue and inputs incur cost. It is customary to (partially) model the economic behavior of a firm as cost minimization. Then the input price index is calculated as the ratio of minimum costs under two differe
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Malmquist Productivity Indexes: A Survey of Theory and Practice,the Malmquist productivity index itself was rarely computed (Pittman, (1983) and Nishimizu and Page (1982) are exceptions), until Färe, Grosskopf, Lindgren and Roos (1989), showed how it could be calculated using a nonparametric linear programming method. In this paper we review the theoretical deve
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Malmquist Productivity Indexes: An Empirical Comparison,(originally circulated as a working paper in 1989) showed the relative ease with which the index could be calculated in the case of piecewise linear frontiers. The additional attraction added by Färe et al. (1994a) was to maintain inefficient operations (accommodated initially in the CCD definition,
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Survival Data with Measurement Error,4 counts, are subject to measurement error due to biological variability and other sources of variation. It is known that standard inferential procedures often produce seriously biased estimation if measurement error is not properly taken into account. Since the seminal paper by Prentice (.), there
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