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Introduction to Probability and Statistics 131B Lecture 5

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Automatisierte Medienanalyse

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more provides sample or do sampling in such a way that pick this many from Telstra that will minimize get better so there's a room table the book think it's example a from Section 7 5 don't were the hospital example again hospitals are displayed the for nearly equally sized strata from small us largess in terms of number bets the number of hospitals in each Estrada is about the same because the number hospitals wasn't was a wife or what you'll hear so instead a 98 hospitals and the fewest number than the next guy would be composed of next 98 hospitals In terms of number of every hostile Mystranan has more beds in every hospital and to be the next 98 biggest very hostile here has more bets on any hostile there or there and these are the biggest 99 hospitals terms of number and not 90 acres numbering starter what many members of its members trees and each summer for the weights are also for telomerase 393 Sosa's . 2 4 9 but is a scissors and Isabel over capital and as 98 this is 98 over 393 Sabine 98 Over 393 To the means and each 1 is 1 . 9 26 . 9 9 56 . 3 1 5 9 2 1 . 2 as well choices 103 what for 204 . 8 243 . 5 4 1 9 . 2 and this the account results this is a need for he said in different races and different strata of of what we eventually force the respected the hospital has more events Sierra's as last year's 191 then there be more are so it is a number of discharges here the way we don't know the number of such as being a number of distrust among so the number because what they add In fact that this is the starter with the largest ever and barracks there was barges and so will you would use them this number and this number 2 From what was off sampling numbers for the 1st struck in the face of whites skirting these numbers quite corresponding wants to vote the Dragons just To death for Frank buff by U.S. Vermont sorry does not quite as stands at mouth bought by that figures ratio of his 2 she or not so want to decide what the sample size be sample size number is from Fatah 1 should be quite all part of what 106 times others may not be new user but maybe it proposes that this number taken from started to should be . 2 1 0 times Over Missile
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Carmine the light turns green you wanna go right away but last summer will 1st car moves after some literal time later arose a 2nd car I'm very carriers you wanna revenue it's true because like white and red maybe even attempted the hot might say something anyway so there's some random on time we have to wait but if to show and this is a gamma rebel last that's 1 reason the going there reasons smile was the gamma and rural what is hardly gamma-ray rubles arise 1 way some of exponential independent expert and rubles think of that time from the movement of the 1st returning of the light green to the movement 1st being exponential honorary and then from the will of the 1st cartel assigning caramel as big another exponential honorable etc then you're order line with me some random will soon be 70 like a 2nd my 1st building are you wait so typically there was a sum of independent independent gets Vestron arose as gamma was might be a lot I ever but then the question water often soccer we make these things we take samples Anders Our chapter will take independent samples of the number of world estimated to be predators of the underlying this is still alive times they'll be arguments and tell you what shape or type of underlying this mission now and then you have to try find parameters for that type of on their normal there there's another argument for capped a E yet the case here are debuted watch 1 oak tree for a while and we are ready to take a lot of different oak tree for our Member differ oak tree may be tried victim them all same this is the number of these from Oak Tree wanted an hour hour and now or you might observed and different cells and measure the current on the Cross won't sell 1 to install 2 etc here you might serve and different drivers on the way so the problem of estimating parameters can sometimes be done it is to world also by expressing the parameters as functions at the moment she did say it was close curve for off so effects as on Trevorrow ladder the 1st moment of Exeter's level cycle that the 1st moment of maybe we use new the subscript or we use newest script new to the site of the 1st moment of acts as news of want equal emphasis on this case express expressed the parameters as a function of being 1st but and what is it what is a function f of me 1 half of acts that expose axes normal with mean new and racing was where everyone is expected by and you too is expected by squared Harper expressed new and was burdened terms of these moments is me 1 right this case as of new 1 is new ones have what we need to functions as time Singh was weirdo expressed as a function of new wanted me to well they were squared is new to minus new square the 2nd bias 1st onwards there we express the proud annually in terms of the Turns out just personal savior every wraps the 2nd parameter sigma squared in terms of the moment and the 1st example of its the gamma but the expected value acts it is remembering because I was passed in 1 of the final set and what's expected of square so a new 1 and mutual all right now what's a density fire but squared and what about the Dead Sea by X squared we all over again will go and what's is scam love alpha plus 2 2 over lender to the which could be
damn Elf was through it is L 4 plus 1 times at times camel them well for us to overdo would be of terms offer their Cleverdale feathers when the 1st 2 letters OK and so on how who expressed some real express Alvarez a function at 1 of new ones and too and they want express members of different culture of you ones mutual yes but we are express leather Valez functionally what would do that at you can't of course is a trick raisins into unknowns Irish Casarez Q. but so what I take a mere 1 divided by this Miners weird I get less than what you check now Pierce's Elfers land at times me 1 in year ago they expressed land in shares of me wanted me to fight is not quite this time 2 that's ever 1 everyone Sony to these cases even express fairly prayers Media parameters in terms of the moments now when you take samples you can being smaller and replied those estimates into these functions the will Logan estimates for these parameters as for the method of moments but Dubai it Quebec we want to the talks the text key for us Frank In this sense that asked if he she was slower large numbers so they are but new 1 is an average of these random variables finally expectations that average worker burst of expectation Texas too was an average of independent around rules if there's an expectations it would be mutual and of our sources to have defensive end court we some you what happened to have abused want to an end if we express parameters as functions of these moments we can plug in business for the moment we get as much for the rapporteur so for example must sort of Versailles the 1st is sort a parameter to reverse moments as the 1st moments toward Our landowner that both knew what that is later for a while In the case of 4 a normal and they're all face color OAS make new causes the new 1 alone packets BY hats but an auto estimates say well report new 1 had your meal to that year I just need to have my have squared she 4 To 0 for court for and Chris for normal and finally for gamma hard estimator Alpha 12 will be joined squared to have my near 1 expert at he and remember recorded and you want me to add years gives new 1 over me to have my eyes U.S. work it sigh up to 4 next time will talk about being statistical properties of these estimators using a lot large numbers of Zora saddled the thermal or odd lot rare events things so we treat these as really this these estimators David method of
Gewichtete Summe
Gerichteter Graph
Gruppe <Mathematik>
Regulator <Mathematik>
Kategorie <Mathematik>
Gebäude <Mathematik>
Dichte <Physik>
Lemma <Logik>
Rechter Winkel
Sortierte Logik
Ordnung <Mathematik>
Explosion <Stochastik>
Algebraisches Modell
Klasse <Mathematik>
Überlagerung <Mathematik>
Weg <Topologie>
Endogene Variable
Stochastische Abhängigkeit
Familie <Mathematik>
Kartesische Koordinaten
Arithmetischer Ausdruck
Figurierte Zahl
Lineares Funktional
Freier Ladungsträger
Physikalischer Effekt
Arithmetisches Mittel
Strategisches Spiel
Projektive Ebene
Varietät <Mathematik>
Gewicht <Mathematik>
Toter Winkel
Physikalische Theorie
Zusammenhängender Graph
Fluktuation <Physik>
Objekt <Kategorie>
Dreiecksfreier Graph
Numerisches Modell


Formale Metadaten

Titel Introduction to Probability and Statistics 131B Lecture 5
Serientitel Introduction to Probability and Statistics 131B
Teil 5
Anzahl der Teile 15
Autor Cranston, Michael C.
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
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DOI 10.5446/13605
Herausgeber University of California Irvine (UCI)
Erscheinungsjahr 2013
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Mathematik

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