### Some articles on *maximum likelihood estimate, likelihood estimate, estimate, likelihood, maximum*:

... A quasi-

**maximum likelihood estimate**(QMLE, also known as a "pseudo-

**likelihood estimate**" or a "composite

**likelihood estimate**") is an

**estimate**of a parameter ... In contrast, the

**maximum likelihood estimate**maximizes the actual log

**likelihood**function for the data and model ... is often a simplified form of the actual log

**likelihood**function ...

...

**Maximum**-likelihood estimators can lack asymptotic normality and can be inconsistent if there is a failure of one (or more) of the below regularity conditions

**Estimate**on boundary ... Sometimes the

**maximum likelihood estimate**lies on the boundary of the set of possible parameters, or (if the boundary is not, strictly speaking, allowed) the

**likelihood**gets larger and larger as the parameter ... If we have enough data, the

**maximum likelihood estimate**will keep away from the boundary too ...

### Famous quotes containing the words estimate, maximum and/or likelihood:

“Value dwells not in particular will;

It holds his *estimate* and dignity

As well wherein ‘tis precious of itself

As in the prizer.”

—William Shakespeare (1564–1616)

“Only at his *maximum* does an individual surpass all his derivative elements, and become purely himself. And most people never get there. In his own pure individuality a man surpasses his father and mother, and is utterly unknown to them.”

—D.H. (David Herbert)

“Sustained unemployment not only denies parents the opportunity to meet the food, clothing, and shelter needs of their children but also denies them the sense of adequacy, belonging, and worth which being able to do so provides. This increases the *likelihood* of family problems and decreases the chances of many children to be adequately prepared for school.”

—James P. Comer (20th century)