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This book provides an updated account of the regression techniques
employed in comparing analytical methods and to test the biases of
one method relative to others - a problem commonly found in fields
like analytical chemistry, biology, engineering, and medicine.
Methods comparison involves a non-standard regression problem; when
a method is to be tested in a laboratory, it may be used on samples
of suitable reference material, but frequently it is used with
other methods on a range of suitable materials whose concentration
levels are not known precisely. By presenting a sound statistical
background not found in other books for the type of problem
addressed, this book complements and extends topics discussed in
the current literature. It highlights the applications of the
presented techniques with the support of computer routines
implemented using the R language, with examples worked out
step-by-step. This book is a valuable resource for applied
statisticians, practitioners, laboratory scientists,
geostatisticians, process engineers, geologists and graduate
students.
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