The unique feature of this well written comprehensive book is its step-by-step guidance in all thirty-eight chapters under twelve parts. Basic knowledge of calculus, matrix theory and mathematical statistics is essential to comprehend this book. The book covers a wide range of topics introduction with a management strategy, historical summary, list of notations and symbols, controversy between uncertainty and error, relationship between correctness and accuracy, probability laws, dependence, discrete and continuous probability distributions, permutations and combinations, random versus systematic errors, heterogeneity versus homogeneity, zero-dimensional lots, sampling versus analytical error, population of specified units, variogram, minimizing sampling error, cardinal rules to estimate variance, grouping versus segregation error, Poisson processes, Visman's sampling, difficulties versus strategies in sampling, nugget effect, probabilistic versus non probabilistic selection processes, splitting processes, sampling modes, beware of paradigms, increment extraction error during exploration and mining, sample integrity, increment weighting error, proportional sampling, peculiarities of the sampling, sampling of the environment, solvable versus unsolvable sampling, chrono-statistics, process control charts, structural problems, homogenizing processes, bed-blending techniques, design, installation, and maintenance of sampling systems among others.
I enjoyed reading this book. I recommend this book to engineers, geologists, chemists, environmental scientists, instructor of statistics courses and computing professionals.