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MEGA VÝHODNÉ
Chapter 1: Probability Theory
Chapter 2: Some Common Probability Distributions
Chapter 3: Infinite Sequence of Random Variables and Their Convergence Properties
Chapter 4: Basic Concepts of Statistical Inference and a Decision Theoretic Approach
Chapter 5: Point Estimation in Parametric Models...
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Chapter 1: Probability Theory
Chapter 2: Some Common Probability Distributions
Chapter 3: Infinite Sequence of Random Variables and Their Convergence Properties
Chapter 4: Basic Concepts of Statistical Inference and a Decision Theoretic Approach
Chapter 5: Point Estimation in Parametric Models
Chapter 6: Hypotheses Testing in Parametric Models
Chapter 7: Asymptotic Properties of Likelihood Based Methods
Chapter 8: Ranks, Empirical Distribution Functions and Quantiles
Chapter 9: Nonparametric Curve Estimation
Chapter 10: Statistical Functionals
Chapter 11: Inference in Linear Models
Chapter 12: Multivariate Analysis
Chapter 13: Resampling: Jackknife and Bootstrap
Chapter 14: Time Series
Appendix A: Some Results from Advanced Calculus
Appendix B: Some Inequalities
Appendix C: Stieltjes Integration
Appendix D: Convergence in Law
Appendix E: Contiguity
Appendix F: Weak Convergence
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- Nakladatel: Academic Press
- Kód:
- Rok vydání: 544
- Vazba: 544
- Počet stran: 544
- Šířka balení: 19.3 cm
- Výška balení: 23.5 cm
- Hloubka balení: 2.7 cm
- Váha balení: 1.126 g
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