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Tradução e análise de palavras por inteligência artificial ChatGPT

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O que (quem) é jointly efficient estimators - definição

GRADIENT OF THE LIKELIHOOD FUNCTION

Efficient score

Efficient-market hypothesis

ECONOMIC THEORY THAT ASSET PRICES FULLY REFLECT ALL AVAILABLE INFORMATION, SO THAT IT IS IMPOSSIBLE TO "BEAT THE MARKET" CONSISTENTLY ON A RISK-ADJUSTED BASIS

Efficient Markets Hypothesis; Efficient markets theory; Efficient markets; Efficient Markets Theory; Efficient markets hypothesis; Efficient market theory; Market efficiency; Efficient market; Semi-strong form; Inefficient markets; Efficient Market Hypothesis; Hypothesis of market efficiency; Efficient market hypothesis; Efficient capital markets; Market stability; Efficient-market theory

The efficient-market hypothesis (EMH) is a hypothesis in financial economics that states that asset prices reflect all available information. A direct implication is that it is impossible to "beat the market" consistently on a risk-adjusted basis since market prices should only react to new information.

https://en.wikipedia.org/wiki/Efficient-market_hypothesis

Centrum pro efektivní dopravu

ORGANIZATION

User:Thisusernameisalreadytaken/Centre for Efficient Transport; Centre for Efficient Transport; Centrum pro Efektivni Dopravu; Centrum pro Efektivní Dopravu

The Centre for Efficient Transport (Centrum pro efektivní dopravu, abbreviated CEDOP) is a Czech-based think tank that advocates the development of public and rail transport. p.

https://en.wikipedia.org/wiki/Centrum_pro_efektivní_dopravu

Collectively exhaustive events

SET OF EVENTS WHOSE UNION COVERS THE ENTIRE SAMPLE SPACE

Collectively exhaustive; Collective Exhaustion; Collective exhaustion; Collectively Exhaustive Events; Jointly exhaustive; Jointly Exhaustive

In probability theory and logic, a set of events is jointly or collectively exhaustive if at least one of the events must occur. For example, when rolling a six-sided die, the events 1, 2, 3, 4, 5, and 6 balls of a single outcome are collectively exhaustive, because they encompass the entire range of possible outcomes.

https://en.wikipedia.org/wiki/Collectively_exhaustive_events

Wikipédia

Score (statistics)

In statistics, the score (or informant) is the gradient of the log-likelihood function with respect to the parameter vector. Evaluated at a particular point of the parameter vector, the score indicates the steepness of the log-likelihood function and thereby the sensitivity to infinitesimal changes to the parameter values. If the log-likelihood function is continuous over the parameter space, the score will vanish at a local maximum or minimum; this fact is used in maximum likelihood estimation to find the parameter values that maximize the likelihood function.

Since the score is a function of the observations that are subject to sampling error, it lends itself to a test statistic known as score test in which the parameter is held at a particular value. Further, the ratio of two likelihood functions evaluated at two distinct parameter values can be understood as a definite integral of the score function.

https://en.wikipedia.org/wiki/Score (statistics)