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It should be noted that an alternative approach to sampling from the conditional distribution using a Metropolis Hastings algorithm is described in LeSage (2000), where a normal or Student s t is recommended as the proposal distribution 944 MCMC Sampler By way of summary, an MCMC estimation scheme involves starting with arbitrary initial values for the parameters, which we denote 0 , 0 , V 0 , and 0 We then sample sequentially from the following set of conditional distributions for the parameters in our model (see 5 for details) 1 p( | 0 , V 0 , 0 ), which is a multinormal distribution with mean and variance de ned in (911) This updated value for the parameter vector we label 1 2.

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I b : transformer basic current (or nominal current) Usc ( % ) : transformer short-circuit current (see section 4.2.1.3)

The virtual starting current I vi is determined by applying multiplier coefficients from numerous tests carried out:

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p( | 1 , V 0 , 0 ), which is chi-square distributed with n + 2d degrees of freedom, as shown in (913) Note that we rely on the updated value of the parameter vector = 1 when evaluating this conditional density We label the updated parameter = 1 and note that we will continue to employ the updated values of previously sampled parameters when evaluating the next conditional densities in the sequence 3 p(vi | 1 , 1 , v i , 0 ), which can be obtained from the chi-square distribution shown in (914) Note that this draw can be accomplished as a vector, providing greater speed 4 p( | 1 , 1 , V 1 ), which we sample using numerical integration and inversion It is possible to constrain to an interval such as (0,1) using rejection sampling.

Practical RF System Design. William F. Egan Copyright 2003 John Wiley & Sons, Inc. ISBN: 0-471-20023-9

Mutating the Population Population after Mutations 00110010001100 11101100000001 00101111010000 00001011000111 00101000000001 11110111010010 00100111001000 00110111001000 New Cost -13477 -12588 -12415 -13482 -13171 -12146 -12716 -12103

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This simply means that we reject values of outside this interval Note also that it is easy to implement a normal or some alternative prior distribution for this parameter We now return to step 1, employing the updated parameter values in place of the initial values 0 , 0 , V 0 , and 0 On each pass through the sequence we collect the parameter draws which are used to construct a joint posterior distribution for the parameters in our model As already noted, Gelfand and Smith (1990) demonstrate that MCMC sampling from the sequence of complete conditional distributions for all parameters in the model produces a set of estimates that converge in the limit to the true (joint) posterior distribution of the parameters Another point to note is that the parameter draws can be used to test hypotheses regarding any function of interest involving the parameters 94.

50

5 Illustration of the Bayesian Model To illustrate the Bayesian model, we use the same Ohio census block-level data sample but use the log budget share of expenditures on alcohol as the outcome variable A set of 2500 draws were made from the conditional posterior distributions of the model, with the rst 500 draws discarded to allow the sampling.

Disadvantages: The unearthed neutral involves: - the use of equipment whose phase-to-earth insulation level is at least equal to that of the phase-to-phase level; indeed, when a permanent phase-earth fault occurs, the voltage of both unaffected phases in relation to earth takes on the value of the phase-to-phase voltage if tripping is not triggered on occurrence of the first fault (see section 7.16); cables, rotating machines, transformers and loads must therefore be chosen with this in mind; - the risk of high internal overvoltages making it advisable to reinforce the equipment insulation; - the compulsory insulation monitoring, with visual and audible indication of the first fault if tripping is not triggered until the second fault occurs; - the presence of maintenance personnel to monitor and locate the first fault during use; - some difficulties implementing selective protection devices upon occurrence of the first fault (see section 7.4.3, directional earth fault protection); - the risk of ferro-resonance. 2.2.2.3. Limiting resistance earthing (see Table 2-1(c)) Operating technique: Switching upon occurrence of the first fault. Advantages: Limits fault currents (reduced damage and disturbance). Dampens overvoltages of internal origin in that the limiting current I is twice as high as the capacitive current I C giving I > 2 I C . Does not require the use of equipment, and in particular cables, having a special phase/earth insulation level. Allows the use of simple selective protection devices. Disadvantages: Tripping on the first fault. 2.2.2.4. Limiting reactance earthing (see Table 2-1(d)) Operating technique: Switching upon occurrence of the first insulation fault.

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