Applied Functional Data Analysis by J.O. Ramsay

By J.O. Ramsay

A pleasant, if overpriced, booklet, yet no longer one who you must hold, in contrast to Ramsay and Silverman's "Functional info research" (FDA). AFDA elaborates numerous examples brought in FDA. The examples hide approximately 60% of FDA's fabric: smoothing is given less area than in FDA, and regression (cf. FDA's Chapters 12-15) is skipped over. when you are determining among the 2 books, opt for FDA.

Show description

Read or Download Applied Functional Data Analysis PDF

Similar biostatistics books

Biostatistics: A Foundation for Analysis in the Health Sciences 6th Edition

Like its predecessors, this variation stresses intuitive realizing of ideas instead of studying by way of mathematical evidence. presents wide assurance of statistical tactics utilized in all of the future health technological know-how disciplines. This model encompasses a larger emphasis on desktop purposes, and lots of the statistical ideas comprise the MINITAB instructions wherein they are often utilized.

Handbook of Modern Item Response Theory

Merchandise reaction thought has develop into a vital part within the toolkit of each researcher within the behavioral sciences. It offers a strong potential to review person responses to a number of stimuli, and the method has been prolonged and constructed to hide many various versions of interplay. This quantity provides a wide-ranging instruction manual to merchandise reaction conception - and its functions to academic and mental checking out.

Statistical Methods for the Analysis of Repeated Measurements

This booklet presents a complete precis of a wide selection of statistical equipment for the research of repeated measurements. it's designed to be either an invaluable reference for practitioners and a textbook for a graduate-level direction involved in equipment for the research of repeated measurements. This e-book might be of curiosity to* Statisticians in lecturers, undefined, and learn corporations * Scientists who layout and examine reports within which repeated measurements are acquired from each one experimental unit * Graduate scholars in information and biostatistics.

Multivariate Survival Analysis and Competing Risks

Multivariate Survival research and Competing hazards introduces univariate survival research and extends it to the multivariate case. It covers competing dangers and counting strategies and gives many real-world examples, routines, and R code. The textual content discusses survival facts, survival distributions, frailty versions, parametric tools, multivariate facts and distributions, copulas, non-stop failure, parametric probability inference, and non- and semi-parametric tools.

Additional info for Applied Functional Data Analysis

Example text

2 onwards. 5 How are functions stored and processed? 1 Basis expansions In the example we have considered, we could simply store all the original values at the 25 evaluation points, since these points are the same for each individual in the sample. However, there are several reasons for considering other approaches. First, it is in the spirit of functional data analysis that we wish to specify the whole function, not just its value at a finite number of points. Second, it is important to have a method that can generalize to the case where the evaluation points are not the same for every individual in the sample.

2. 2. 1 plotted on a logarithmic scale. 6% increase in the index per year. 2 Transformation and smoothing Like most economic indicators, the nondurable goods index tends to exhibit exponential increase, corresponding to percentage increases over fixed time periods. Moreover, the index tends to increase in size and volatility at the same time, so that the large relative effects surrounding the Second World War seem to be small relative to the large changes in the 1970s and 1980s, and seasonal variation in recent years dwarfs that in early years.

2. The record of a particular individual, showing the numbers of arrests at various ages. This individual was arrested for three offenses at age 11, one at age 14, and so on, but was not arrested at all in years 12, 13, 15, etc. every individual is likely to show a sporadic pattern of some sort. Despite the very noisy nature of the data, one of our aims is to find ways of quantifying meaningful patterns in individuals that reflect variation in the wider population. Our analysis raises a number of questions of broader importance in functional data analysis.

Download PDF sample

Rated 4.79 of 5 – based on 11 votes