What do juggling, old bones, criminal careers and human growth patterns have in common? They all give rise to functional data, that come in the form of curves or functions rather than the numbers, or vectors of numbers, that are considered in conventional statistics. The authors' highly acclaimed bo
Applied Functional Data Analysis: Methods and Case Studies
โ Scribed by James O. Ramsay, Bernard W. Silverman
- Publisher
- Springer
- Year
- 2002
- Tongue
- English
- Leaves
- 201
- Series
- Springer Series in Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This book contains the ideas of functional data analysis by a number of case studies. The case studies are accessible to research workers in a wide range of disciplines. Every reader should gain not only a specific understanding of the methods of functional data analysis, but more importantly a general insight into the underlying patterns of thought. There is an associated web site with MATLABr and S?PLUSr implementations of the methods discussed.
๐ SIMILAR VOLUMES
Functional data analysis is a new area of statistical research, and the two authors of this title present the first collection of methods in book-form. Much of the work is original to the authors. Front Matter; Introduction; Life Course Data in Criminology; The Nondurable Goods Index; Bone Shap
"What do juggling, old bones, criminal careers, and human growth patterns have in common? They all give rise to functional data, which come in the form of curves or functions rather than the numbers, or vectors of numbers, that are considered in conventional statistics. The authors' book Functional
<span>A holistic, step-by-step approach to analyzing health care data! </span><p><span> Written for both beginner and intermediate JMP users working in or studying health care, </span><span>Data Management and Analysis Using JMP: Health Care Case Studies</span><span> bridges the gap between taking t
A nice, if overpriced, book, but not one that you need to keep, unlike Ramsay and Silverman's "Functional Data Analysis" (FDA). AFDA elaborates several examples introduced in FDA. The examples cover about 60% of FDA's material: smoothing is given much less space than in FDA, and regression (cf. FDA