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1	Algebarske strukture oslabljenih mreža i primene / Algebraic structures of weakened lattices and applications Lazarević Vera 13 July 2001 (has links) <p>Ako je  Lalgebarska mreža i  a kodistributivan elemenat u L, onda sve klase kongruencije  (pa indukovane homomorfizmom  ma : xi— >  a   A x imaju najveće elemente. Najveći elemenat klase kojoj  x E Lpripada je označen sa  x.Ako je  a binarna operacija definisana sa x ay = (x A y)  V  (x A y),onda je istraživana struktura  (L, a), i odgovarajući poset ( L, <»). Kao primer takve strukture posmatrana je algebra slabih kongruencija  (CwA, a), gde je a specijalna grafička kompozicija. Dobijeni rezultati daju prirodne posledice u strukturi slabih kongruencija. Data je primena ovih rezultata u univerzalnoj algebri. Njihovom primenom karakterizuje se CEP i Hamiltonovo svojstvo. Dat je potreban i dovoljan uslov da poset (L, < -) bude mreža i ovi rezultati su primenjeni na mrežu slabih kongruencija.</p> / <p>If  Lis an algebraic lattice and  a codistributive element in  L,then all the classes of the congruences  4>a determined by the homomorphism  ma :  x  \— >  a Ax   have top elements. The top element of the class which to belongs an  x   €  Lis denoted by  x.   If a is a binary operation defined by  x  ay=  (xA y)  V  (xA y),then we investigate the<br />structure  (L,a), and the corresponding poset  (L, < t ). Asan example of such a structure we observe an algebra of weak congruences ( C w A , * a),where a is a special graphical composition. We obtain natural conse quences of the mentioned results to the structure weak congruences. An application in universal algebra is presented, for example, we characterized CEP and Hamiltonian property. Necessary and sufficient conditions for a poset  (L,<) to be a lattice are given, and the results are applied in the case of weak congruence lattices.</p>
2	A Logistic Regression Analysis of Utah Colleges Exit Poll Response Rates Using SAS Software Stevenson, Clint W. 27 October 2006 (has links) (PDF) In this study I examine voter response at an interview level using a dataset of 7562 voter contacts (including responses and nonresponses) in the 2004 Utah Colleges Exit Poll. In 2004, 4908 of the 7562 voters approached responded to the exit poll for an overall response rate of 65 percent. Logistic regression is used to estimate factors that contribute to a success or failure of each interview attempt. This logistic regression model uses interviewer characteristics, voter characteristics (both respondents and nonrespondents), and exogenous factors as independent variables. Voter characteristics such as race, gender, and age are strongly associated with response. An interviewer's prior retail sales experience is associated with whether a voter will decide to respond to a questionnaire or not. The only exogenous factor that is associated with voter response is whether the interview occurred in the morning or afternoon. Exit Poll sampling weighting questionnaires interviewers voters polling places precincts backward selection SAS proc logistic surveylogistic model selection Utah Colleges Exit Poll UCEP SUDAAN SQL data management weight adjustments predicted probabilities logistic regression holdout research validation sample design data architecture adjustment exogenous statistics political science voters nonresponse response rate retail sales age race gender time of day Statistics and Probability

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Algebarske strukture oslabljenih mreža i primene / Algebraic structures of weakened lattices and applications

A Logistic Regression Analysis of Utah Colleges Exit Poll Response Rates Using SAS Software