### Table 3 Composite and superstrate configurations: accuracy of the closed-form expressions used.

"... In PAGE 7: ...ubstrate. Detailed formulas can be found in [15]. Different multi-layer composite and superstrate build- ups within our technology set have been tested. Their parameters are collected in the following Table3 . The accuracy results for the these configurations are shown in the similar form as for single dielectric configuration and are presented in Table 4 and Fig.... ..."

### Table 2a: Closed Form Expressions For Bayes Factor Under Conjugate Prior: w(y) = e y Likelihood Prior Bayes Factor

1994

"... In PAGE 19: ...Table2 b: Closed Form Expressions For Bayes Factor Under Conjugate Prior: w(y) = y or y( ) = y(y ? 1):::(y ? + 1) Likelihood Prior Bayes Factor Gamma( ; ) Gamma( ; ) ?( + )?( + )(y+ ) ?( )?( + + ) Exp0l ( ) Gamma( ; ) ?( +1)?( +1)(y+ ) ?( + +1) Normal( ; 1) Normal( ; 2) Use Tierney-Kadane Approximation Poisson( ) Gamma( ; ) ?(y+ ) ?(y+ ? )y( )(1+ ) Neg.Bin.... ..."

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### TABLE I CLOSED-FORM EXPRESSIONS FOR pM(k|i), E[bi,j] AND E[b2 i,j]

2006

### Table 7.1: Loss probabilities for uniform deadlines, derived from numeric convolution (C), numeric inversion of the Laplace transform (L), closed-form expression (F) or closed-form inversion of the Laplace transform (I)

1990

Cited by 10

### Table 1: Closed Form Analytical Expressions for the gradi- ent and Hessian of the cost function and constraints Cost function - JW

in TIME DOMAIN OPTIMIZATION TECHNIQUES FOR BLIND SEPARATION OF NON-STATIONARY CONVOLUTIVE MIXED SIGNALS

### Table 2b: Closed Form Expressions For Bayes Factor Under Conjugate Prior: w(y) = y or y( ) = y(y ? 1):::(y ? + 1) Likelihood Prior Bayes Factor

1994

"... In PAGE 18: ...Table2 a: Closed Form Expressions For Bayes Factor Under Conjugate Prior: w(y) = e y Likelihood Prior Bayes Factor Gamma( ; ) Gamma( ; ) Use Tierney-Kadane Approximation Exp0l ( ) Gamma( ; ) e? y ? (y+ ) Normal( ; 1) Normal( ; 2) exp[12 2(1 ? ?1) + ( (y) ? y)] where (y) = ( 1 1+ 2 ) 0 + 2 1+ 2 y ?1 = 2=( 2 + 1) Poisson( ) Gamma( ; ) (e + 1+ ) ( e + (1+ )e )y Neg.Bin.... ..."

Cited by 5