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Smoothing Splines
Methods and Applications
2011 || Hardcover || Yuedong Wang || Taylor & Francis
A general class of powerful and flexible modeling techniques, spline smoothing has attracted a great deal of research attention in recent years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic smoothing spline models, including polynomial, periodic, spherical, thin-plate, L-, and partial splines, as well as more advanced models, such as smoothing spline ANOVA, extended and generalized smoothing spline ANOV...
Measurement in Medicine
A Practical Guide
2011 || Paperback || Henrica C. W. de Vet e.a. || Cambridge University Press
The success of the Apgar score demonstrates the astounding power of an appropriate clinical instrument. This down-to-earth book provides practical advice, underpinned by theoretical principles, on developing and evaluating measurement instruments in all fields of medicine. It equips you to choose the most appropriate instrument for specific purposes.
The book covers measurement theories, methods and criteria for evaluating and selecting instruments. It provides methods to assess measurement p...
A Student's Guide to Vectors and Tensors
2011 || Paperback || Daniel A. Fleisch || Cambridge University Press
Adopting the same approach used in his highly popular A Student's Guide to Maxwell's Equations, Fleisch explains vectors and tensors in plain language to give undergraduate and beginning graduate students a better understanding of how to use vectors and tensors to solve problems in physics and engineering.
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Research Methods for Science
2011 || Paperback || Michael P. Marder || Cambridge University Press
A unique introduction to the design, analysis, and presentation of scientific projects, this is an essential textbook for undergraduate majors in science and mathematics. The textbook gives an overview of the main methods used in scientific research, including hypothesis testing, the measurement of functional relationships, and observational research. It describes important features of experimental design, such as the control of errors, instrument calibration, data analysis, laboratory safety...