Time Series Analysis: Methods and Applications: Handbook of Statistics, cartea 30
Tata Subba Rao, Suhasini Subba Rao, C. R. Raoen Limba Engleză Hardback – 17 mai 2012
- Comprehensively presents the various aspects of statistical methodology
- Discusses a wide variety of diverse applications and recent developments
- Contributors are internationally renowened experts in their respective areas
Din seria Handbook of Statistics
- 27% Preț: 1325.30 lei
- Preț: 319.26 lei
- 27% Preț: 1145.13 lei
- 5% Preț: 1477.80 lei
- 27% Preț: 1137.23 lei
- 27% Preț: 1148.27 lei
- 27% Preț: 1375.74 lei
- 27% Preț: 1341.12 lei
- 24% Preț: 1304.26 lei
- 27% Preț: 1302.67 lei
- 9% Preț: 1001.90 lei
- 9% Preț: 1057.63 lei
- 9% Preț: 1063.21 lei
- 9% Preț: 1062.00 lei
- 32% Preț: 1072.68 lei
- 32% Preț: 1069.05 lei
- 32% Preț: 1156.79 lei
- 32% Preț: 1159.19 lei
- 39% Preț: 904.18 lei
- 33% Preț: 1151.63 lei
- 39% Preț: 1152.07 lei
- 32% Preț: 1155.76 lei
- 27% Preț: 1330.74 lei
- 27% Preț: 1326.65 lei
- 28% Preț: 1155.48 lei
- 27% Preț: 1329.66 lei
- 27% Preț: 1327.61 lei
- 27% Preț: 1050.55 lei
- 29% Preț: 1153.22 lei
- 28% Preț: 1158.51 lei
- 27% Preț: 1250.69 lei
- 5% Preț: 1295.64 lei
- 9% Preț: 894.66 lei
- 14% Preț: 1340.55 lei
Preț: 1012.54 lei
Preț vechi: 1325.39 lei
-24% Nou
Puncte Express: 1519
Preț estimativ în valută:
193.80€ • 201.99$ • 161.33£
193.80€ • 201.99$ • 161.33£
Carte tipărită la comandă
Livrare economică 30 decembrie 24 - 13 ianuarie 25
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780444538581
ISBN-10: 0444538585
Pagini: 776
Ilustrații: 1
Dimensiuni: 152 x 229 x 36 mm
Greutate: 1.36 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
ISBN-10: 0444538585
Pagini: 776
Ilustrații: 1
Dimensiuni: 152 x 229 x 36 mm
Greutate: 1.36 kg
Editura: ELSEVIER SCIENCE
Seria Handbook of Statistics
Public țintă
Statisticians and scientists in various disciplines who use statistical methodology in their workCuprins
1. Bootstrap methods for time series
2. Testing time series linearity: traditional and bootstrap methods
3. The quest for nonlinearity in Time Series
4. Modelling nonlinear and nonstationary time series,
5. Markov switching time series models
6. A review of robust estimation under conditional heteroscedasticity
7. Functional time series
8. Covariance matrix estimation in Time Series
9. Time series quantile regressions
10. Frequency domain techniques in the analysis of DNA sequences
11. Spatial time series modelling for fMRI data analysis in neurosciences
12. Count time series models
13. Locally stationary processes
14. Analysis of multivariate non-stationary time series using the localised Fourier Library
15. An alternative perspective on stochastic coefficient regression models
16. Hierarachical Bayesian models for space-time air pollution data
17. Karhunen-Loeve expansion for temporal and spatio-temporal processes
18. Statistical analysis of spatio-temporal models and their applications
19. Lévy-driven time series models for financial data
20. Discrete and continuous time extremes of stationary processesn
21. The estimation of Frequency
22. A wavelet variance primer
23. Time Series Analysis with R
2. Testing time series linearity: traditional and bootstrap methods
3. The quest for nonlinearity in Time Series
4. Modelling nonlinear and nonstationary time series,
5. Markov switching time series models
6. A review of robust estimation under conditional heteroscedasticity
7. Functional time series
8. Covariance matrix estimation in Time Series
9. Time series quantile regressions
10. Frequency domain techniques in the analysis of DNA sequences
11. Spatial time series modelling for fMRI data analysis in neurosciences
12. Count time series models
13. Locally stationary processes
14. Analysis of multivariate non-stationary time series using the localised Fourier Library
15. An alternative perspective on stochastic coefficient regression models
16. Hierarachical Bayesian models for space-time air pollution data
17. Karhunen-Loeve expansion for temporal and spatio-temporal processes
18. Statistical analysis of spatio-temporal models and their applications
19. Lévy-driven time series models for financial data
20. Discrete and continuous time extremes of stationary processesn
21. The estimation of Frequency
22. A wavelet variance primer
23. Time Series Analysis with R
Recenzii
"Referring to earlier volumes in the venerable series Handbook of Statistics- -v.3 (1983) and v.5 (1985)--the three editors preface this 30th volume by describing the explosion of developments since those books were published. Initial chapters cover topics that were in their infancy 25 years ago, including bootstrap methods and tests for linearity of a time series. Following is coverage of methods of modeling nonlinear time series, functional data and high-dimensional time series, applications to biological and neurological sciences, nonstationary time series, spatio- temporal models, continuous time series, and spectral and wavelet methods for the analysis of signals, among other topics. The editors are affiliated as follows: Tata Subba Rao (U. of Manchester, UK), Suhasini Subba Rao (Texas A&M U., US) and C.R. Rao (U. of Hyderabad Campus, India)." --Reference and Research Book News, October 2012