Robert, Christian P. <br/><br/>
Introducing monte carlo methods with R/ 
Christian P. Robert, George Casella 
 - New York:  Springer,  2010. 
 - xix, 283 p. :  ill. ;  24 cm. 
<br/><br/>1 Basic R Programming.<br/><br/>2 Random Variable Generation<br/><br/>3 Monte Carlo Integration.<br/><br/>4 Controlling and Accelerating Convergence.<br/><br/>5 Monte Carlo Optimization.<br/><br/>6 Metropolis#x2013;<br/><br/>7 Hastings Algorithms.<br/><br/>8 Gibbs Samplers.<br/><br/>9 Convergence Monitoring and Adaptation for MCMC Algorithms. 
<br/><br/><label>ISBN: </label>9781441915757 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematical statistics--Data processing	<br/>R (Computer program language)	<br/>Monte Carlo method--Computer programs	<br/>Markov processes<br/>Mathematical statistics<br/>Computer science<br/>Computer science--Mathematics<br/>Computer simulation
<br/><br/><label>Dewey Class. No.: </label>518.282  / ROB/I