Page 377 - Applied Probability

367
Index
Stationary distribution, see Equi-
Normal distribution, uni-
librium distribution
variate
Stationary point process, 262
Uracil, 341
Steepest ascent, 40
Step-halving, 40
Variance component, 142
Stirling’s formula, 285, 328 Univariate normal distribution, see
Stochastic methods, see Markov
chain Monte Carlo W d statistic, 62, 65–67
Poisson approximation to, 300
Stochastic point process, 257
recursive calculation of dis-
Subadditivity, 287, 295
tribution, 74
Sum, iterated, see Iterated sum
Wald’s formula, 265
Walsh transform, 189–191, 260
Tandem repeat locus, 50 Wright’s path formula, 94
Taxon, 203 Wright-Fisher model, 320
Tay-Sachs disease and heterozy- bottleneck, 335
gote advantage, 11 density function, 333
Telomere, 257, 342 extinction probability, 334
Thinning, random, see Random Finnish example, 333
thinning numerical methods for, 332
Thymine, 341
Tip of evolutionary tree, 203 X chromosome, 1, 342
Total variation distance, 299 convergence to Hardy-Weinberg
bound for, see Chen-Stein bound equilibrium, 6
Trait, 4 X-linked kinship coefficient, see Kin-
Transcription (of genes), 341, 343 ship coefficient, X-linked
Transcription factor, 344
Y chromosome, 1
Transfer RNA, see RNA, transfer
Transition
Z max statistic, 62
in evolutionary model, 211
approximate distribution, 63
Transition probability matrix, 170,
for case-control tests, 70
195–196
in testing in situ hybridiza-
Transition rate, 209
tion, 64
Translation (of genes), 341
in transmission/disequilibrium
Transmission probability, 115, 214
test, 72–73
array factoring, 123–124
Zygote, 2
for gametes, 116
gamete competition model, 126
Transmission/disequilibrium test,
70–73, 126
Transversion, 211
Trow’s formula, see Recombina-
tion fraction
Twins, trait covariance between,
146