By A. Azzalini

ISBN-10: 0195159888

ISBN-13: 9780195159882

Il concetto di verosimiglianza gioca un ruolo fondamentale nell'impostazione corrente della Statistica, sia consistent with introdurre nozioni generali della teoria che in line with lo sviluppo di metodi specifici. Questo libro presenta un'esposizione della teoria statistica basata sulla verosimiglianza, osservata dal punto di vista della "teoria classica", e dimostra come il corpo principale delle tecniche statistiche attualmente in uso possano essere desunte da un numero limitato di concetti-chiave. L'attuale edizione integra l. a. precedente con un capitolo sui modelli lineari generalizzati e con altri aggiornamenti quali numerose illustrazioni numeriche, basate su applicazioni reali, che facilitano l. a. percezione della rilevanza operativa dei metodi presentati.

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**Additional resources for Inferenza statistica, una presentazione basata sul concetto di verosimiglianza**

**Example text**

E) A = {x | 2x2 - 5x + 2 = 0}, B = {x | 2x3 – 5x2 + 2x = 0}. Which of the following are true? Explain. (a) 2 = {2}, (b) 2 {2}, (c) 0 = ∅, (d) 0 ∅. 2. Subsets Each element of the set of vowels in the alphabet is, of course, an element of the set of all letters. Similarly, each number in {2, 4, 6} is an element of the set of all even integers, and each real number in {x | x > 3} is also in {x | x > 0}. In this section, we discuss the simple but important relation between sets illustrated by these examples.

The probability of an event 4. Some probability theorems 5. Conditional probability and compound experiments 6. Bayes’ formula 7. Independent events 8. Independence of several events 9. Independent trials 10. A probability model in genetics chapter 3 • SOPHISTICATED COUNTING 1. Counting techniques and probability problems 2. Binomial coefficients chapter 4 • RANDOM VARIABLES 1. Random variables and probability functions 2. The mean of a random variable 3. The variance and standard deviation of a random variable 4.

We can continue forming complements, unions, and intersections of these sets. For example, (A′)′ = {4, 5, 6, 7}′ = {1, 2, 3} = A, (A ∪ B)′ = {1, 2, 3, 4, 6}′ = {5, 7}, (B ∩ C)′ = ∅′ = (A ∩ B) ∪ C = {2} ∪ {1, 3, 5, 7} = {1, 2, 3, 5, 7}, (A ∪ C) ∩ (A ∩ C) = {1, 2, 3, 5, 7} ∩ {l, 3} = {l, 3}, etc. When considering sets and operations on sets, it is helpful to represent the sets pictorially. A rectangle is drawn to represent the universal set . A subset A of is represented by the region within a circle drawn inside the rectangle.

### Inferenza statistica, una presentazione basata sul concetto di verosimiglianza by A. Azzalini

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