একটি গাণিতিক ফাংশন পদ একটি সংখ্যা সমষ্টি যে

multinomial শব্দের বাংলা অর্থ এর উদাহরণ:

সবথেকে জনপ্রিয় পদ্ধতিগুলি হলঃ স্প্লিট অপারেটর পদ্ধতি (বাস্তব) চেবিশেভ বহুপদ মাল্টি-কনফিগারেশন সময়নির্ভর হারট্রী পদ্ধতি (multi-configuration time-dependent ।

বিছে সন্ধিপদ পর্বের বহুপদ (myriapoda) উপপর্বের অন্যতম সদস্য- দ্রতগামী স্থলচর পোকা ।

রূপ নিয়েছে: এই ক্ষেত্রে তাদের মধ্যে মাত্র দুটি রয়েছে দুটি দ্বিবৈচিত্র বহুপদ x২ + y২ এবং x৮ + ১৪x২y২ + y৮ ।

এটিতে বলা হয়েছে যে, একটি বহুপদ f ( x ) {\displaystyle f(x)} কে একটি রৈখিক বহুপদ ( x − r ) {\displaystyle (x-r)} দ্বারা ভাগ করলে ।

multinomial's Usage Examples:

In probability theory, the multinomial distribution is a generalization of the binomial distribution.

In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.

In probability theory and statistics, the negative multinomial distribution is a generalization of the negative binomial distribution (NB(x0, p)) to more.

In mathematics, the multinomial theorem describes how to expand a power of a sum in terms of powers of the terms in that sum.

the other hand, the categorical distribution is a special case of the multinomial distribution, in that it gives the probabilities of potential outcomes.

With a multinomial event model, samples (feature vectors) represent the frequencies with which certain events have been generated by a multinomial ( p 1.

In probability theory and statistics, the Dirichlet-multinomial distribution is a family of discrete multivariate probability distributions on a finite.

In statistics and econometrics, the multinomial probit model is a generalization of the probit model used when there are several possible categories that.

Different links g lead to multinomial logit or multinomial probit models.

distribution is the conjugate prior of the categorical distribution and multinomial distribution.

proposed and evaluated as base estimators in random forests, in particular multinomial logistic regression and naive Bayes classifiers.

In machine learning, multiclass or multinomial classification is the problem of classifying instances into one of three or more classes (classifying instances.

version of the Dirichlet-multinomial distribution as the binomial and beta distributions are univariate versions of the multinomial and Dirichlet distributions.

Some authors have extended multinomial regression to include feature selection/importance methods such as random multinomial logit.

and in latent profile analysis and latent class analysis as from a multinomial distribution.

Outputs with more than two values are modeled by multinomial logistic regression and, if the multiple categories are ordered, by ordinal.

G-test from the log-likelihood ratio test where the underlying model is a multinomial model.

A multinomial opinion applies to a state variable of multiple possible values, and.

multinomial's Meaning':

a mathematical function that is the sum of a number of terms

Synonyms:

function; quartic polynomial; biquadratic; map; homogeneous polynomial; mathematical function; quadratic; biquadratic polynomial; mapping; monic polynomial; single-valued function; quadratic polynomial; series; polynomial;

Antonyms:

nonfunctional; functional; uselessness; inutility; divergency;