polynomial

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polynomial

(pŏl′ē-nō′mē-əl)
Of, relating to, or consisting of more than two names or terms.
n.
1. A taxonomic designation consisting of more than two terms.
2. Mathematics
a. An algebraic expression consisting of one or more summed terms, each term consisting of a constant multiplier and one or more variables raised to nonnegative integral powers. For example, x2 - 5x + 6 and 2p3q + y are polynomials. Also called multinomial.
b. An expression of two or more terms.
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References in periodicals archive ?
multiTree: A computer program for the analysis of multinomial processing tree models.
Then, we input these into the Naive Bayes Multinomial algorithm.
Based on the investigations of the elements described above, the final MBISG 2.0 multinomial logistic model includes as predictors:
In the Table 2, the estimates of the M3 parameters in conjunction with the confidence intervals at p < 0.95 had similar [[sigma].sup.2.sub.b] for the binomial and the beta-binomial distributions ([[sigma].sup.2.sub.b] = 0.93) but lower for both n conditions when we fit the multinomial distribution ([[sigma].sup.2.sub.b] = 0.72 for [pi[].sub.1] and [[sigma].sup.2.sub.b] = 0.76 for n2).
Multinomial logit could be denoted as following (Greene, 2003):
Finally, one can define a multinomial logit quasilikelihood function L([beta]) that takes the functional forms (8) and (9) and uses the observed shares [s.sub.ik] [member of] [0, 1] in place of the binary indicator that would otherwise be used by a multinomial logit likelihood function, such that
Data were analyzed through SPSS by using the following techniques: Regression (simple and multiple) factor analysis, SEM, multinomial logistic regression.
The estimation results of the multinomial logistic models for HR and NHR crashes were reported in Tables 3 and 4.
These cross-sections can be analyzed by forming a simple pooling, when the estimated parameters are constant for all for all the observation units and for all the periods, or by forming a panel of data, when the estimated parameters are variables for each observation unit over time, which in the multinomial case are estimated by random effects.
 also compare and evaluate three classification methods through a large number of experiments, including the Multinomial Naive Bayes classifier, the nearest neighbor algorithm, and association rules mining technology.
Using multinomial GAMs adjusting for sex, age, year, and latitude and longitude as a thin plate spline bivariate smoother, we tested each risk factor (online Technical Appendix Table 1).
(2012) analyzed the remittances influence on poverty in Nigeria by employing two alternate techniques of Multinomial Logit with IV and PSM by employing data of Nigerian National Living Standard Survey (NNLSS) for 2004.

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