10 Analysis of Sequences: Convolution and Covariance

Kapitel in diesem Buch

1. Frontmatter i
2. Contents v
3. Preface xi
4. 1 Probability 1
5. 2 Some Useful Probability Distribution Functions 22
6. 3 Random Numbers and Monte Carlo Methods 50
7. 4 Elementary Frequentist Statistics 81
8. 5 Linear Least Squares Estimation 111
9. 6 Nonlinear Least Squares Estimation 155
10. 7 Bayesian Statistics 187
11. 8 Introduction to Fourier Analysis 221
12. 9 Analysis of Sequences: Power Spectra and Periodograms 256
13. 10 Analysis of Sequences: Convolution and Covariance 292
14. Appendices 333
15. Bibliography 383
16. Index 385