শব্দের উৎপত্তি FĂRÎMÁ
fărîmá (fărấm, fărâmát), vb. – A sparge, a face bucăți. –
Var. (s)făr(î)ma, (s)făr(î)mi. Lat. *
ex-formāre, cf. it. sformare „a desfigura”,
sformato „diform”. Rezultatul
sfărma este normal (pentru
o ›
ă, cf. fără); formele cu
î se datorează unei încrucișări cu
dărîma, v. aici. În general se explică acest cuvînt prin
fărîmă „fragment”, care se consideră identic cu
alb. theṝimë (‹
mr. sîrmă) „fragment”,
theṝmoń (‹
mr. sîrmare) „a sparge” și derivat din
lat. *
farrimen, de la
far „alac” (Pușcariu,
Conv. lit., XXXV, 818 și
ZRPh., XXVII, 739; Pușcariu 582; Giuglea,
Dacor., III, 598; Philippide, II, 712; Rosetti, II, 116), ipoteză dificil de admis din punct de vedere semantic (
cf. REW 3202). Diez,
Gramm., I, 281, urmat de Körting 3950, Meyer 90 și Scriban, propusese
lat. fragmen, care reprezintă de asemenea dificultăți.
Alb. pare a proveni din
rom. –
Cf. înfărma. Der. fărîmă, s. f. (fragment, bucată; firimitură; rest);
fărîmăcios (
var. (s)făr(î)măcios, (s)făr(î)micios),
adj. (care se fărîmă, inconsistent);
fărîmat (
var. (s)făr(î)mat, (s)făr(î)mit),
s. n. (spargere; fărîmare; oboseală, rău, amețeală);
fărîmător (
var. (s)făr(î)mător, (s)făr(î)mitor),
adj. (care (s)fărîmă);
fărîmătură (
var. (s)făr(î)mătură, (s)făr(î)mitură, fir(i)mitură),
s. f. (fărîmare; distrugere; spargere, hernie; firimitură; resturi); în ultimele
var. pare a fi intervenit o încrucișare cu
fir; fărîmița (
var. sfăr(î)mița, (s)făr(î)mica, (s)făr(î)miți, fir(i)miți),
vb. (a face bucățele, a face firimituri), din
dim. fărîmiță.
«FĂRÎMÁ» এর সঙ্গে সম্পর্কিত রোমানীয় বই
নিম্নলিখিত গ্রন্থপঞ্জী নির্বাচনে
fărîmá শব্দটির ব্যবহার খুঁজুন। রোমানীয় সাহিত্যে
fărîmá শব্দের ব্যবহারের প্রসঙ্গ সম্পর্কিত বই এবং তার থেকে সংক্ষিপ্তসার।
1
Glossariu care coprinde vorbele d'in limb'a romana straine ...
FAEIMA, S. f., frustillum , oll'ula, micula; paalluluin; pauxlllalum; bucea- tella forte mica, unu picu, una mica : a face farime una olla, unu ossu, una pane, capulu cuiva; dati-ne una farima de pane, si metaforice : una farima de focu, de anima, ...
August Treboniu Laurian, Ioan C. Massim, 1871
2
Stochastic Algorithms: Foundations and Applications: 5th ... - Pagina 42
Cumulative square errors for different algorithms and datasets Algorithm M1 M2 Z1 Z2 DEC-PKTLBL-PKT-4 FARIMA(0,1) 1.50 26.41 6.28 0.13 0.45 1.51 FARIMA(0,2) 1.21 26.32 6.23 0.13 0.45 1.53 FARIMA(0,3) 1.21 26.40 6.12 0.15 0.47 1.52 ...
Osamu Watanabe, Thomas Zeugmann, 2009
3
A Practical Guide to Heavy Tails: Statistical Techniques ... - Pagina 181
Let us now turn to the Gaussian FARIMA(p, d, q) processes. A Gaussian FARIMA(0, d, 0) process is defined by A', = A~de,, / > 1, where the e, are independent, identically distributed Gaussian random variables with mean 0, and where A is the ...
Robert Adler, Raya Feldman, Murad Taqqu, 1998
4
Theory and Applications of Long-Range Dependence - Pagina 20
which is equivalent to saying that the process Y, = (I - B)[d+^X, is FARIMA(0. d - [d + 1/2]. 0). If d < -1/2, we call FARIMA(0. d. 0) the process X, = </-flr'rf One can also take a slightly different approach. We limit ourselves to the main ideas only.
Paul Doukhan, George Oppenheim, Murad S. Taqqu, 2003
5
Fractional Processes and Fractional-Order Signal ... - Pagina 184
8.4 Estimated density and histogram of GSL Several models have been adopted to estimate and predict the GSL elevation time series, such as the ARMA, ARIMA, FARIMA, GARCH and FIGARCH models. Among these models, the FARIMA ...
Hu Sheng, YangQuan Chen, TianShuang Qiu, 2011
6
Modeling Financial Time Series with S-PLUS - Pagina 291
The lag polynomial on the left hand side of the above equation can be expressed as an infinite order polynomial so that a FARIMA(p, d, q) model can be equivalently expressed as an AR(oo) model. Once the parameters of the FARIMA(p, d, ...
Eric Zivot, Jiahui Wang, 2013
7
Intelligent Data Engineering and Automated Learning – ... - Pagina 279
Experimental results (accumulated square loss) Algorithm Dataset ADataset BDataset CDataset D FARIMAbest 7.40 5.79 3.23 15.85 parameter (p,q) (3,0) (0,3) (1,1) (1,0) FARIMA worst 125.38 28.92 158.35 102.65 parameter (p,q) (1,2) (1,2) ...
Colin Fyfe, Dongsup Kim, Soo-Young Lee, 2008
8
Networking And Mobile Computing: Third International ... - Pagina 1260
3.3 Prediction Accuracy FARIMA is one of the best fractional predictors for self-similar traffic [16], [14]. The reverse of signal to noise ratio—SNR-1 is used as the accuracy measure to compare our models with FARIMA. SNR-1 satisfies 1 2 2/ ...
Xicheng Lu, Wei Zhao, 2005
9
Proceedings of the 2015 Chinese Intelligent Automation ... - Pagina 542
Noting that FARIMA (Fractional Autoregressive Integrated Moving Average) model has the ability to describe short-range dependence and long-range dependence simultaneously, and recently it has been introduced to model Internet delay ...
Zhidong Deng, Hongbo Li, 2015
10
Self-Similar Processes in Telecommunications - Pagina 79
The aim of any algorithm of FARIMA synthesis is to generate sequences that have a persistence and are computing-attractive for the generation of large data sets. The FARIMA(p,d,q) process Xn can be considered as an ARMA(p,q) process ...
Oleg Sheluhin, Sergey Smolskiy, Andrew Osin, 2007
এর মাধ্যমে তা খুঁজে বের করুন 
