Offering a viable solution to the long-standing problem of estimating the abundance of rare, clustered populations, adaptive sampling designs are rapidly gainin

This book aims to provide an overview of some adaptive techniques used in estimating parameters for finite populations where the sampling at any stage depends o

This book proposes that environmental information samples are biased and cognitive processes are not.

This accessible new edition explores the major topics in Monte Carlo simulation that have arisen over the past 30 years and presents a sound foundation for prob

Adaptive Sampling with Mobile WSN develops algorithms for optimal estimation of environmental parametric fields. With a single mobile sensor, several approaches