This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodolog
โฆ LIBER โฆ
Marked Gibbs Processes and Asymptotic Normality of Maximum Pseudo-Likelihood Estimators
โ Scribed by Shigeru Mase
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 248 KB
- Volume
- 209
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
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For \(k\) normal populations with unknown means \(\mu_{i}\) and unknown variances \(\sigma_{t}^{2}\), \(i=1, \ldots, k\), assume that there are some order restrictions among the means and variances, respectively, for example, simple order restrictions: \(\mu_{1} \leqslant \mu_{2} \leqslant \cdots \l
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