Estimation Theory
نویسندگان
چکیده
Abstract This chapter is on classical statistical decision theory. It an important for historical reasons, but it also provides the right mathematical grounding and intuition more modern tools from data science machine learning. In particular, we discuss maximum likelihood estimation (MLE), unbiasedness, consistency asymptotic normality of MLEs in this chapter.
منابع مشابه
Estimation Theory
Statistical Inference – methods by which generalizations are made about a population Two Major Areas of Statistical Inference 1. Estimation – a parameter is established based on the sampling distribution of a proportion, establishing a certain degree of accuracy from the estimate 2. Test of Hypothesis – a decision is arrived at about a prestated hypothesis, thereby accepting or rejecting the hy...
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ژورنال
عنوان ژورنال: Springer Actuarial
سال: 2022
ISSN: ['2523-3262', '2523-3270']
DOI: https://doi.org/10.1007/978-3-031-12409-9_3