multiterm mathematical expression: a mathematical expression consisting of the sum of a number of terms, each of which contains a constant and variables raised to a positive integral power
buanf
Lulla diference
No. It is multinomial because you have more than two possible outcomes each time.
It is not. There are only two possible outcomes for each toss of a coin whereas the number of possible outcomes when selecting a marble from a bag will depend on the numbers of distinct marbles in each bag. The coin toss generates a binomial distribution the marbles experiment is multinomial.
There are many frequency distributions: Uniform, Binomial, Multinomial, Poisson, Gaussian, Chi-square, Student's t, Fisher's F, Beta, Gamma, Lognormal, Logistic to name some off the top of my head. And I am sure I've missed many more. You need to specify which ones you are interested in. Forgot the Exponential.
multinomial
buanf
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No. It is multinomial because you have more than two possible outcomes each time.
True.
No. If you keep track of all the numbers that are rolled then there are six possible outcomes, a binomial has only two. It is a multinomial distribution.
The special products include: difference of the two same terms square of a binomial cube of a binomial square of a multinomial (a+b) (a^2-ab+b^2) (a-b) (a^2+ab+b^2)
Monomial consisting of one term ( 3x ) , Binomial consisting of two terms ( x + y ), Trinomial consisting of three terms ( 3x+4x+5xy ), and Multinomial consisting of three or more terms.
The special products include: difference of the two same terms square of a binomial cube of a binomial square of a multinomial (a+b) (a^2-ab+b^2) (a-b) (a^2+ab+b^2)
It is just a factor or categorical variable. On the other hand for instance, If your age is continuous (rather than age brackets) then it would be a covariate. If your age is given as age-brackets, then it wont be covariate.
The multinomial logit model is a statistical method used to analyze choices among multiple discrete alternatives, commonly applied in transportation studies to understand travel mode selection. It estimates the probability of choosing a particular mode (e.g., car, bus, bike) based on various factors such as travel time, cost, and individual characteristics. The model assumes that the utility derived from each alternative can be expressed as a function of observable attributes, allowing researchers to predict how changes in these attributes influence choice behavior. Its flexibility makes it valuable for transportation planning and policy analysis.
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