Merken
Survey Sampling
Automatisierte Medienanalyse
Diese automatischen Videoanalysen setzt das TIBAVPortal ein:
Szenenerkennung — Shot Boundary Detection segmentiert das Video anhand von Bildmerkmalen. Ein daraus erzeugtes visuelles Inhaltsverzeichnis gibt einen schnellen Überblick über den Inhalt des Videos und bietet einen zielgenauen Zugriff.
Texterkennung – Intelligent Character Recognition erfasst, indexiert und macht geschriebene Sprache (zum Beispiel Text auf Folien) durchsuchbar.
Spracherkennung – Speech to Text notiert die gesprochene Sprache im Video in Form eines Transkripts, das durchsuchbar ist.
Bilderkennung – Visual Concept Detection indexiert das Bewegtbild mit fachspezifischen und fächerübergreifenden visuellen Konzepten (zum Beispiel Landschaft, Fassadendetail, technische Zeichnung, Computeranimation oder Vorlesung).
Verschlagwortung – Named Entity Recognition beschreibt die einzelnen Videosegmente mit semantisch verknüpften Sachbegriffen. Synonyme oder Unterbegriffe von eingegebenen Suchbegriffen können dadurch automatisch mitgesucht werden, was die Treffermenge erweitert.
Erkannte Entitäten
Sprachtranskript
00:05
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09:37
Of minus this time some EU laws we and plus minus somebody does not involve So the singer not is a constant as far as he's concerned and can be factored out of integral factor out He's the this times that's border What you I love minus 1 or 2 1 Leicester Square Times as saying here 1 minus rose where Hansel's here here so God is going to be eaten minus you square Over So it's back And then what soft inside is minus He miners were all you square Over 2 times oneliners square Joe OK now is the time to use what we know is what we know and we want use active computer center on the stairs of a goal like that it does with well the variable was different But airline that new is this thing is that come into the answer while some you would be a sin what would receive a square He By maestro square so visceral should be discouraged 2 High Times oneliners square words that illegal is merciless constant Rosewood to apply elsewhere what's this thing where so it's good fight Was work And now we see some more cancelations a 1 mile route maestro square here near canceled by here's a route Find a waiter To find so they get 1 over route to Part of the Sigma acts inside the square root and Becomes the square They need to the minors you square were to what's to use here minus the Lexus buyers use of capital X squared or who so that's where There's a marginal density for capital X X Y is joint And what's the along with me UXN race sex what about Marshall for I just to exwife Nunavut trouble with we new wife So low that wasn't so bad was it Alright Well let's do something more that question 1 of Okayama here little that This work on right so gas seamless in in here is 1 less where squares and those of such groups in the square here where As entered sect quite that's fine BEI conditional density How the I think the show But The They have quite a mess Salyer His definition of conditional necessary And so we just part of our formulas See All the docks But 2 But old The key to shore on Jr And this should be simplified and think there should be some cancelations consolidation cell I signal cancels um trigger route to pioneer 2 And so the cuts not becomes elitist Universe multiply and all you forgot Africa's at than And then what well Here we have a cold fish in the minus 1 over 2 times what rights was where want and that was why The fastest but if I would put inside the square brackets should multiplied by 1 maestro squared and abide by 1 might source where they I do that D. C Put it inside here on the scope of this part will stay outside I've multiplied here but the new writer will have a doctor 1 Laszlo squared is will stay outside stand where could inside here it's have census is a myositis travel outside somewhere else I fear of my so the Reds I have this term and this term came from amount
19:25
Most of my years of my life that makes the plots right around than Come up And the So it's Itasca backers lot by by that Exponential out Alaska combined these 2 The didn't work such as too I But Kit What she did Becomes at Because it is this minus 1 might as times this term and this part The onetime stuff and that will cancel leading plus row squared A new search that For a while and eventually Come to the realization That inside the square bracket is a perfect square At the end of the Want to do so But at the bottom of the table But Kit At But I think ask represent Now what CEO a variable for this density its little acts and usually when you have a normal would mean new embracing square cars the density looks like minus elects Myers New Square Over A 1 over Where does That was expression look like this Not yet but we can make it a little bit and come up to me that that order which do if turnover Acts Over My something over Signetics square Their swords referring Iran's But But That Old Alright well above head I wanna give this in the something of former looks like that thing so I've X over Where the music acts About In the letters truck new food So what's new Where fire this and visiting a hawker I combine this thoughts on that track I said multiplied And abide by Singh was a taboo at very sudden tiny fractions and the nite X minus the use of capital X minus a stigma acts over Texas on Monday combined these Should this multiplied by Said necks and prayer But will That give me a role Sigma setbacks over similar so why times Though why might use of wine over West capital X squared 1 last step Yet But It What ship Puts it into this swamp You are more practices So what's Initial distribution of Capital X given that capitalize little conditional on the of capitalist couldn't capitalize the light is normal with me This guy here and variants Think so star although little but differ from where would be The marginal was normal means abusive acts and Sigma that when we're done X and Y be independent Exactly when row is 0 independence would say that the conditional density is the same as the that when is as marginal So that that well rose 0 1 year Yeah 1 near New 0 their theories are so normal during Obama's 4 0 0 4
28:45
There were some homework problems are involved in this occasions leader tenders until next Which is Do wonders missile expectations But But Just expectations using conditional here maps conditional densities in case of case of a venerable At But The definition abuse and that is again provided that when you put value you're the some converters retiring at Albert was provided with products by some mergers in the case of a continuous venerable Sir Kitsch You integrate acts against these initial density and again as provided this murders autographs pose a 1st down exercise let's do What I want a conditional spectator Nova normal fail there Our could beat up all things were done But but of all X OK well This will equal There's an ANC there have a other board He opened that But is it But Was gift What day that was Dot dot dot design will of over in settling here Thank you Alright well um for the formal let that supposedly of my ears Dot dot dot here and I did that in a row where Pfizer whereby hero X minus this thing I guess that cancer or other words what if I integrated Up Say Expression hall where yet Well chains variables but why people do X minus Neil A vast and Averill a 0 because why Tennessee Weisberg is an odd function Or in other words Alexina minus X squared over To squared Stainless where buyers and fraternity reacts is what number it's just me so I Not violated 0 but the weapons of I don't I just give me that I 4 Other words this would be the use of the capital X Well aware it I'm here to say this is just the Bonino the normal that we are not in In the expression of a past Musa backs role Singh was a cap OX X or say works of capital why 0 why bias music life support to simulate that normal as press outlet their roles Is disarmed is using this factor as boats answering a miscellaneous Role is at Thus the significance of building near accidents day Think that So Why would a year Expected either Rock Indistinct while Watson Distribution of capital X the modulus more Right Kind of you know soluble why it changes they expect their expectations of roses from 0 4 0 0 there the same froze different from 0 visibility expected our without information from 1 but if you find That capitalizes value and they do it in a vexed given that information is us Straggler example At that Need to cook True S should it He was I find it in the shower spectators you given Cabral easily so are you like to think of exponential intervals as being lifetimes of light bulbs and so on You
38:15
Time with Michael Burns out You replace it and then he would be the time when they secular life of burned out of nowhere the 2nd Life burned out what do you expect the person out So what we need to computes Besides artists like you need be conditional that's what you need to compute the initial density need a joint density and Marginal started find a joint density of you in Are you find the as of you and me As They are Well as Ford He wanted to but you would be ardent defender But Restoration stuff Is Jacoby so remember the formula density the joint density for you'd be busy It was I'm not But it cut expert With church Work she did Where this is summer G1 1 of T1 detail and this is G 2 0 up team Bob So what 2 Member H 1 8 servings it invert this transformation so what's each 1 of you beat you What's H 2 of you How do you get From you know I'm I get to know you Now we track from Yet Today to going Subtract this A lesser 52 So what's this determined whatsoever She wonders 2 variables as does the 1st hurdle so this will be 1 and this 0 be quiet and this is 1 of the this 1 So this doesn't appear and solely joy density Sir Well I'll be density of warranty to is white Isn't The other independent and also so it as a factor of Rwanda so it is modified to densities together Could K And this is veracity bigger 0 assault onto exponential dances together Lambert utilize times Icelander playing so you violate that now has go each 1 and he age 2 So what's each 1 us to be and recalling that the variable as Soviet around squared Utilize slammed a each 1 of you a 2 of you And that's equal to this where you might as well be what early a limits on these variables you in Our nonnegative right used to be 1 these us to do so which is bigger and use less Bolivia So there is a joint density now want convicted initial expectations so we should find these conditional density of you've given me in the joint over the marginal School That Right so we have this awareness But yet harder we get a marginal we have to integrate the joint over thievery will you think our races Took off And what are the limits aggression 0 White Serie I saw him rate Backed up the land squared And what we have here very right and what we have these giant as it will ever be As far as used constant cycle that are also And then I had to 0 0 Davine deal which is nice and scene And this is good for Aviv bigger 0 areas and what's that As some as 1 of the ones you know it's a gamma with parameter Alfie will to England The us come from some of the well sums of exponential OK so now we have This notice in the way we have slammed the squared minus liability in the rare we have Founders He is minor slammed the and this is 1 and that's for you would range from 0 to see so what's a conditional density of you've given me Far Missouri But was likely to burn off Brown anywhere in the rules His anywhere else 1st light bulb as a uniform distribution given the time when the sight of so what's expected value then you giving capital of easily beat out or 2 Demure expected value is right middle but we can't computed argued that we take you times a density
47:53
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57:22
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1:07:06
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1:16:44
If that Isn't exwife bidders as Max must be bigger than A fax is not an ear facts is not dream you might save you pass said distance to a mule must be bigger than That means a summer must be bigger than A eases ratio must be bigger than what so fired There's a oneyear fireplace 1 by this I get something bigger things So I repeat effects is not in visible which is which is worried entering and that this has meant to me which is This must be beer and amazes phrase means of this scenario I get bigger than ever before because you're able 1 year something bigger And I was negative Pennsylvania over the whole space and that I get something bigger still the square because of ice iceberg might get something Syria OK and enough irate over the whole space I get something even bigger then and now the won a race where it came from other what's left of entering X my New Square Against the density of acts that area As various of over a square but couple quick steps so that the probability that And this is next 1st meeting is bigger than a disaster Mosquero sailors were various Warwick Let's that He I took off at the G for yet He is to now But But What's expected value of vests and divided by Well this is a constant soluble that expected value An expected by some as a sum of expected I use an HIV status Newell and terms like that the end times but then there's a 1 or here to cancel the end And this is a chance he'll Let's give the variants of As a B 1 and squared times various That's an edge robber the former we had last for periods of a song It is a some other basis Crisis some or a blow that I know of the called a of innovative and rules with Sukova 0 4 in the minerals of Summers some of these bases eggs each firm would be Squared homered terms with And event sodas becomes In Sigma demanded by And squared Be Sigma squared over Here is getting smaller Was wasting these holes are far The writer From its expected value this means not very far But I Ceratosaura of concentrating near what new but sees Java chose a calling card Now L'Oreal here The various of the thing We cannot deal kit The singer probability of etc. and is more than a away from expected is Going 0 I constant or an Belarus is probably going to 0 so here we say SAN overran converters new in probability probability that it's far from you is going to there As a scholarly week blob large numbers Pull 0 for example if you ruler dies A thousand times and you count 1 every time you get the number 1 XI would be But But But Bond F1 1 appears 0 or otherwise What s 1018 I have been a number of times a 1 appear when you're all die All the time And in 1 or Thousand times act Change BV relative frequency of Once And the thousand trucks and much of the summer because too
1:26:06
According to the law of large numbers of public it's far from what would be expected 1 6 Probably this close to 1 6 is very close to what the problem is far from 160 be going 0 maybe you could save and probability that As 1 thousand or 1 thousand buys onesixth is Figure . 0 1 But the U.S. said 1 thousand Times . 0 1 4 times the race Of the but what's the rates XI It's It did Good old But What guys can XI 1 or 0 words Probably that it's 1 1 ever want comes up every once that they want 6 times 1 1 6 square And and thereby be 0 Man of the probability 5 6 We get 1 6 Times by 25 or 30 states 5 over 6 times 1 or 36 30 Oberg After 16 Think of a period of 30 and I went to 216 I got here A thousand times . 0 1 that's 10 be 30 over too Thousand 160 cancel at 3 over 216 that must be won over 70 or 1 chance at most 1 chance assembly through that This frequency of 8 user more than 100 Away from where 6 He actually ate turns out that some are stronger There were a stroke under the same circumstances What We just want dozen that faith save it If I Take a realization rest and over an electrical work says that the size of the severed realizations word post is very basic bitter says that actually sent over and will convert as a subtle difference between us is application But There are question The problem I want to But sir Oh yes I think you have it's was BA square thank you says via tender Midas for so But They put it in a more zeros here and now this is a I get another 0 here I get at Faced playoff forgot the square in a so I St. Ciento million it said a false witnesses tender 6 And for sets and squared side 2 0 0 1 cancels onerous body so forced to use these fonts and 0 1 making a great of course and city The expected value of GDR where you is uniform on 0 1 If we take a new 1 for you and uniformly asserted On 0 1 Independent Said XIV quality of you I sensed years continuous undesirable responded said has a finite and g g of you as a finite mean Is the expected expected right at some ads are new if I some of the excise and divide by in fact emerges to what 2nd murders to me They His best end over end converters to the expected value or so this summer because of that process is a way of doing numerical integration you get A sample of independent uniformly venerable survived a function that goes Banyan or Realizations Adam up divided by the the number of positions to be close to him I think do realize that they cannot integrate every function GE occurred as you think you are at innovation cannot every function as you can in a way that would be utilized expert there's no quotes expression for interval 0 1 you my sex gratuity acts But Something as exposes us You can't Soccer you get a value for is 1 way there are tables were you can off Thousand 2000 realizations of uniformly history Independent minerals and evaluate g opposed atom up divided by the number you've got to closely and their error precise areas Our breeder pressed for Wednesday
00:00
Randverteilung
Distributionstheorie
Abstimmung <Frequenz>
Mathematik
Sterbeziffer
Schlussregel
Wahrscheinlichkeitsfunktion
Gesetz <Physik>
Teilbarkeit
RaumZeit
Dichte <Physik>
Differentialgleichung mit nacheilendem Argument
PoissonKlammer
Quadratzahl
Differenzkern
Rechter Winkel
Zufallsvariable
Vorlesung/Konferenz
Normalvektor
Drei
09:33
Randverteilung
Distributionstheorie
Faktorisierung
Gruppenkeim
SigmaAlgebra
Gesetz <Physik>
Term
Physikalische Theorie
Gerichteter Graph
Ausdruck <Logik>
Weg <Topologie>
Arithmetischer Ausdruck
Multiplikation
PoissonKlammer
Gruppe <Mathematik>
Minimum
Vorlesung/Konferenz
Wurzel <Mathematik>
Schnitt <Graphentheorie>
Grundraum
Sinusfunktion
Bruchrechnung
Exponent
Tabelle
Stochastische Abhängigkeit
Teilbarkeit
Integral
Dichte <Physik>
Arithmetisches Mittel
Quadratzahl
Rechter Winkel
Tourenplanung
Konditionszahl
Mereologie
Normalvektor
Ordnung <Mathematik>
28:40
Randverteilung
Distributionstheorie
Gewichtete Summe
Sterbeziffer
Zahlenbereich
Transformation <Mathematik>
Fastring
Ausdruck <Logik>
Eins
Variable
Erwartungswert
Arithmetischer Ausdruck
Gruppe <Mathematik>
Inverser Limes
Vorlesung/Konferenz
Analytische Fortsetzung
Parametersystem
Lineares Funktional
Exponent
Gebäude <Mathematik>
Reihe
Schlussregel
Kette <Mathematik>
Biprodukt
Teilbarkeit
Kugelkappe
Dichte <Physik>
Skalarprodukt
Flächeninhalt
Rechter Winkel
Surjektivität
Konditionszahl
Dreiecksfreier Graph
Gammafunktion
Gleichverteilung
47:47
Distributionstheorie
Gewichtete Summe
Momentenproblem
Wasserdampftafel
Klasse <Mathematik>
Zahlenbereich
Bedingter Erwartungswert
Multiplikationssatz
Erwartungswert
Vorlesung/Konferenz
Parametersystem
Lineares Funktional
Exponent
Mathematik
Stochastische Abhängigkeit
Schlussregel
Biprodukt
Modul
Ereignishorizont
Kugelkappe
Dichte <Physik>
Geometrische Reihe
Flächeninhalt
Rechter Winkel
Zufallsvariable
Sortierte Logik
Konditionszahl
Dualitätstheorie
Entropie
Ordnung <Mathematik>
Explosion <Stochastik>
Geometrie
1:06:54
Punktprozess
Prozess <Physik>
Gewichtete Summe
Wasserdampftafel
Gruppenoperation
Zahlenbereich
SigmaAlgebra
Term
RaumZeit
Bedingter Erwartungswert
Multiplikation
Erwartungswert
Ungleichung
Stützpunkt <Mathematik>
Vorlesung/Konferenz
Abstand
Parametersystem
Lineares Funktional
Oval
Relativitätstheorie
Schlussregel
Frequenz
Ereignishorizont
Dichte <Physik>
Arithmetisches Mittel
Quadratzahl
Verbandstheorie
Rechter Winkel
Basisvektor
1:26:01
Subtraktion
Prozess <Physik>
Ortsoperator
Sterbeziffer
Annulator
Zahlenbereich
Abgeschlossene Menge
Kartesische Koordinaten
Division
Stichprobenfehler
Arithmetischer Ausdruck
Numerische Integration
Vorlesung/Konferenz
Figurierte Zahl
Analytische Fortsetzung
Addition
Lineares Funktional
Tabelle
Stochastische Abhängigkeit
Frequenz
Arithmetisches Mittel
Quadratzahl
Menge
Flächeninhalt
Schwaches Gesetz der großen Zahlen
Aggregatzustand
Metadaten
Formale Metadaten
Titel  Survey Sampling 
Serientitel  Introduction to Probability and Statistics 131A 
Teil  10 
Anzahl der Teile  16 
Autor 
Cranston, Michael C.

Lizenz 
CCNamensnennung  Weitergabe unter gleichen Bedingungen 3.0 Unported: Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nichtkommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben. 
DOI  10.5446/12879 
Herausgeber  University of California Irvine (UCI) 
Erscheinungsjahr  2013 
Sprache  Englisch 
Inhaltliche Metadaten
Fachgebiet  Mathematik 