Functional data is data in the form of curves that is becoming a popular method for interpreting scientific data. Statistical Analysis of Functional Data provides an authoritative account of function data analysis covering its foundations, theory, methodology, and practical implementation. It also contains examples taken from a wide range of disciplines, including finance, medicine, and psychology. The book includes a supporting Web site hosting the real data sets analyzed in the book and related software. Statistical researchers or practitioners analyzing functional data will find this book useful.EVANS, HASTINGS, and PEACOCKa Statistical Distributions, Third Edition EVERITT, LANDAU, LEESE, and STAHL a Cluster Analysis, Fifth Edition FEDERER and KING a Variations on Split Plot and Split ... ULYANOV, and SHIMIZUa Multivariate Statistics: High-Dimensional and Large-Sample Approximations FULLER a Introduction to Statistical ... THOMPSON, and HARRIS a Solutions Manual to Accompany Fundamentals of Queueing Theory, Fourth Edition *HAHN and SHAPIROanbsp;...
|Title||:||Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators|
|Author||:||Tailen Hsing, Randall Eubank|
|Publisher||:||John Wiley & Sons - 2015-05-18|