Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Programming --- Mathematical statistics --- Analyse chronologique (Statistique) --- Analyse de séries chronologiques --- Analyse en série chronologique --- Analysis of time series --- Chroniques (Statistique) --- Chroniques [Statistique des ] --- Série chronologique --- Série temporelle --- Séries chronologiques --- Séries chronologiques [Analyse des ] --- Séries temporelles --- Tijdreeksenanalyse --- Time-series analysis --- #WWIS:didaktiek --- 519.55 --- Autocorrelation (Statistics) --- Harmonic analysis --- Probabilities --- Time-series analysis. --- Série chronologique --- Économétrie --- Analyse des séries temporelles

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Time-series analysis. --- Wavelets (Mathematics). --- Analyse de séries chronologiques --- Time series analysis --- 519.246 --- stochastische processen --- tijdreeksanalyse --- wiskundige statistiek --- 519.246 Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Statistics of stochastic processes. Estimation of stochastic processes. Hypothesis testing. Statistics of point processes. Time series analysis. Auto-correlation. Regression --- Mathematical statistics --- Time-series analysis --- Wavelets (Mathematics) --- Data processing --- Data analysis --- Série chronologique --- Ondelettes --- Analyse de fourier

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Quantitative methods (economics) --- Analyse chronologique (Statistique) --- Analyse de séries chronologiques --- Analyse en série chronologique --- Analyse stochastique --- Analyse économique --- Analysis of time series --- Chroniques (Statistique) --- Chroniques [Statistique des ] --- Cycles --- Cycli --- Econometrics --- Econometrie --- Econométrie --- Statistique économique --- Stochastic analysis --- Stochastische analyse --- Série chronologique --- Série temporelle --- Séries chronologiques --- Séries chronologiques [Analyse des ] --- Séries temporelles --- Tijdreeksenanalyse --- Time-series analysis --- Econometrics. --- Time-series analysis. --- Stochastic analysis. --- Cycles. --- 330.015195 --- Cyclic theory --- Natural cycles --- Periodicity --- Philosophy --- Rhythm --- Analysis, Stochastic --- Mathematical analysis --- Stochastic processes --- Autocorrelation (Statistics) --- Harmonic analysis --- Mathematical statistics --- Probabilities --- Economics, Mathematical --- Statistics --- Econométrie --- Série chronologique

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Image sequence processing is becoming a tremendous tool to analyze spatio-temporal data in all areas of natural science. It is the key to studythe dynamics of of complex scientific phenomena. Methods from computer science and the field of application are merged establishing new interdisciplinary research areas. This monograph emerged from scientific applications and thus is an example for such an interdisciplinaryapproach. It is addressed both to computer scientists and to researchers from other fields who are applying methods of computer vision. The results presented are mostly from environmental physics (oceanography) but they will be illuminating and helpful for researchers applying similar methods in other areas.

Analyse chronologique (Statistique) --- Analyse de séries chronologiques --- Analyse en série chronologique --- Analyse spatiale --- Analysis of time series --- Chroniques (Statistique) --- Chroniques [Statistique des ] --- Computer vision --- Computervisie --- Ruimtelijke analyse --- Spatial analysis --- Série chronologique --- Série temporelle --- Séries chronologiques --- Séries chronologiques [Analyse des ] --- Séries temporelles --- Tijdreeksenanalyse --- Time-series analysis --- Vision par ordinateur --- Computer vision. --- Image processing --- Spatial analysis. --- Time series analysis. --- Digital techniques. --- Digital techniques --- Geography. --- Optical pattern recognition. --- Engineering. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Environmental Science and Engineering. --- Earth Sciences, general. --- Pattern Recognition. --- Complexity. --- Construction --- Industrial arts --- Technology --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Cosmography --- Earth sciences --- World history --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Wavelet methods have recently undergone a rapid period of development with important implications for a number of disciplines including statistics. This book has three main objectives: (i) providing an introduction to wavelets and their uses in statistics; (ii) acting as a quick and broad reference to many developments in the area; (iii) interspersing R code that enables the reader to learn the methods, to carry out their own analyses, and further develop their own ideas. The book code is designed to work with the freeware R package WaveThresh4, but the book can be read independently of R. The book introduces the wavelet transform by starting with the simple Haar wavelet transform, and then builds to consider more general wavelets, complex-valued wavelets, non-decimated transforms, multidimensional wavelets, multiple wavelets, wavelet packets, boundary handling, and initialization. Later chapters consider a variety of wavelet-based nonparametric regression methods for different noise models and designs including density estimation, hazard rate estimation, and inverse problems; the use of wavelets for stationary and non-stationary time series analysis; and how wavelets might be used for variance estimation and intensity estimation for non-Gaussian sequences. The book is aimed both at Masters/Ph.D. students in a numerate discipline (such as statistics, mathematics, economics, engineering, computer science, and physics) and postdoctoral researchers/users interested in statistical wavelet methods. Guy Nason is Professor of Statistics at the University of Bristol. He has been actively involved in the development of various wavelet methods in statistics since 1993. He was awarded the Royal Statistical Society’s 2001 Guy Medal in Bronze for work on wavelets in statistics. He was the author of the first, free, generally available wavelet package for statistical purposes in S and R (WaveThresh2).

Programming --- Mathematical statistics --- Statistics. --- Statistical Theory and Methods. --- Econometrics. --- Bioinformatics. --- Psychometrics. --- Data Mining and Knowledge Discovery. --- Data mining. --- Mathematical statistics. --- Statistique --- Exploration de données (Informatique) --- Bio-informatique --- Statistique mathématique --- Econométrie --- Psychométrie --- Wavelets (Mathematics) --- R (Computer program language) --- Statistics --- Data mining --- Bioinformatics --- Econometrics --- Psychometrics --- R (Computer program language). --- Wavelets (Mathematics). --- Civil & Environmental Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Operations Research --- Mathematical Statistics --- Logiciel --- Computer software --- Méthode statistique --- Statistical methods --- Modèle mathématique --- Mathematical models --- Traitement des données --- Data processing --- Analyse de séries chronologiques --- Time series analysis --- GNU-S (Computer program language) --- Statistical inference --- Statistics, Mathematical --- Wavelet analysis --- Distribution (Probability theory. --- Probability Theory and Stochastic Processes. --- Probabilities --- Sampling (Statistics) --- Domain-specific programming languages --- Harmonic analysis --- Economics, Mathematical --- Distribution functions --- Frequency distribution --- Characteristic functions --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Measurement, Mental --- Measurement, Psychological --- Psychological measurement --- Psychological scaling --- Psychological statistics --- Psychology --- Psychometry (Psychophysics) --- Scaling, Psychological --- Psychological tests --- Scaling (Social sciences) --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Measurement --- Scaling --- Methodology --- Probabilities. --- Statistics . --- Statistical analysis --- Statistical data --- Statistical science --- Probability --- Combinations --- Chance --- Least squares --- Risk