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Estimation of Parameters

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Z sub SOsub at play So 0 or on what What does is applied to I call on all of us all These are in the where Louie reverie also would probably refuse success He will Not only All that this Renner rebels approximately normal means embrace 1 distributed so I'm saying that can is the expected value of X 1 and that he turns on my skis the rates that which is what we are here for ever for Bernoulli's public X 1 blind is 1 must probably X 1 0 years Expected value 1 is key to raise next 1 is backed by 1 squared minus expected value but X 1 squared is 1 of the same By square 1 or 0 wanna 0 sources and expected that once was key this is key A squared key minus D squared at peak times honesty guided by route and cut their that's approximately normal So if And it's 20 years one-fourth of approximate The probability their send is bigger than three-eighths I ever sent bigger than three-eighths But it's a prospect that probably As member successes in an equal 20 trials what only successes would you expect when trials of the province 4 About 5 this number would be what creates terms 20 is a bit more than 5 on watch for At some point 5 Ursal grasp what probably of Ada more successes review this well Wigan actually computers exactly Because we know that The some of an independent year-end rebels as binomial so this could be computed explicitly it's some Katie Equal Us to be precise 3 8 times 20 plus 1 regret injured 3 times 20 and and up to 20 20 twos OK one-fourth to the case And then three-fourths of the 20 miners K values is computer all these numbers now And creates tyrants 20 years what exactly is at 3 8 some 20 years 3 times 5 and by 2 . 5 . 5 times the years 7 . 5 so the greatest that a 7 so with date when at 13 terms and Soviet 13 numbers Get not impossible can you do it before The break Hank William 12 minutes job returned Maybe if you have a calculator you don't job not by the central there says we don't have to compute as richer proxy despite a normal Instead We get this in the forward news settlement Expression of careers in the saddle attract somewhat track and times mean abide by mood square The best thing so inherent through our computers probability subtract entity in divide by route and one-liners being and
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That probability When apps where no there's a ran a rare woods continuous use red arose continues their sale distribution what's probably 1 of the nearly one-half Think So I think summaries said that 38 for the answer was quantities for the answers for half Soviet a half on the exam Ogata Mark wrong they bring about things OK well done so it does If that's but let's use this leads into Chapter 6 was you as normal means operates 1 of the reputation of you square This was all planned as a segue from chapter by chapter for non chapter 6 distributions derived from the normal but they do not warrant a rare reward museum Raceway where that happens often enough that has a name Call chi squared with 1 degree of freedom of that bound for the year to assist comes up and sampling and nest Illustrations of various units Is an or memorable means owners want and use weird is called upper one-year sometimes wasn't there and that Maybe it's understood the Mariners is called Hi squared orders 1 degree of freedom And actually this is not going by an alias sexier different at distribution ART Noel And how do review of suspicions of federal sweet computer apologetic functions see free recognizes fortunately rather quick to side because we all in all a few motor functions of the state of computer moments and function for you square But It is our function is to use I'm using the density of you so this is a function of ran rebel site evaluate that function at them off my body density On route to buy that The function was expectations gyrating now where you're doing expectations you should check suggest that heroes and occurred somewhere there is as always we find that But if she is what is is to use 1 Where you're going to use 1 here but the product is what BVU squared over to and a hearing from eyes friend to and what You you square to do when you go Those entities city as a fine not so is 1 this is not a work of art can be had for values to you would be fine Well exceed if these negative it's fine but can we get bigger than 0 that's the that's the big question can you bigger 0 because make these conclusions about the uniqueness of the distribution that gives the object Fontanini motor function to be defined in the neighborhood of 0 has been defined as some terrible containing 0 would take part a passer-by have that been Yes up to of 4 for example than that EX 1 is still That is for EU Mize squared over 4 Right and that would be fine so this is visited converge neighborhood contain or but not for tea equal bigger equal to half so where visitors In order to would commute followed I guess 1st ever February next For us I think it is our right Chen hurried to visit Stop What is a look like A senior girls vaguely remember resemble list OK density is like or what generator with Saiga normal What is a normal that they like
General normal density Is the rubble Maine 0 Minnewil embracing sleeveless where she that would like this Not exactly but not too far Now I tainted eating well I've cosmetically chase on me but this is different is assigning for is a nun equal or start Not a lot like that That would see what might Minus to equal to 1 lines Judy and new equal to 0 Steelview Stuart Harper how would you you square here must be But now it's signal itemized to is 1 Were missing something promising Ms. But you put that Don here It Can't much itemized who is this basic square meters of minus want that Don here but that's not what I started with 5 wracked by putting in that Then somewhat what Cyril this from 0 to mice Trinity it's what I so 1 over this times at a role would be 1 leading that are If K On 1 Myers to Tito back that's the momentary function at for a team purity on gamma momentary conduits will feel it doesn't it's OK 4 4 4 4 And this federal members as long as he is our somewhere it something negative and X foreign infinite sort could hear as combined the exponential so he complained Now there's plenty of for about 4 times that we offer 120 most of acts a density means that agree this stuff I 1 that's not to say that So I know that it'll be equal to Belfour over whether demise Tito the offer from the back of the former gamma density here but primarily undermines he Kirk normalizing constant would be won over this But Can office canceled and so the moment functions for this Slammed overlap demise Tito El the look like that and also the mightiest esteemed signed forward land they have to be 1 as we wonder what we all have to be one-half Craig so scissor 0 8 Islam legal baby not maybe letters I want but strike over there would there's less cooperative T minus 1 hears to Let's hear it at the factor that out by factor that our you're buying yet Script to write It For crept starch There a far the numerator becomes 1 half 2 1 half over one-half minus 2 you on
At Now lenders a half also act as a high squared with 1 degree of freedom is equal to a gamma with grammar tremors L Crevalle You want to show you N R I D normal beamed 0 grades 1 then you 1 square cross due to squared must you where is called chi squared with and degrees of freedom and that has another name for the moment at a function for that body that we've done many times before Because of independence and radical distribution of this Their we computer this curious and that's a gamma would like primaries An hour to his Zell file and land a half or so in August is rotisserie source top bearing chapter said Friday
Zentralisator
Addition
Distributionstheorie
Stabilitätstheorie <Logik>
Binomialbaum
Sterbeziffer
Momentenproblem
Mathematisierung
Schlussregel
Term
Gesetz <Physik>
Arithmetisches Mittel
Erneuerungstheorie
Arithmetischer Ausdruck
Rangstatistik
Rechter Winkel
Inverser Limes
Vorlesung/Konferenz
Wurzel <Mathematik>
Gleitendes Mittel
Zustandsgleichung
Distributionstheorie
Lineares Funktional
Momentenproblem
Sterbeziffer
Varianz
Kardinalzahl
Asymptote
Arithmetisches Mittel
Quadratzahl
Normalverteilung
Rangstatistik
Rechter Winkel
Endogene Variable
Vorlesung/Konferenz
Normalvektor
Schnitt <Graphentheorie>
Distributionstheorie
Subtraktion
Punkt
Wasserdampftafel
Zahlenbereich
Toter Winkel
Bilinearform
Extrempunkt
Sigma-Algebra
Term
Division
Arithmetischer Ausdruck
Variable
Zustand
Randomisierung
Inverser Limes
Vorlesung/Konferenz
Analytische Fortsetzung
Gerade
Leistung <Physik>
Bruchrechnung
Lineares Funktional
Multifunktion
Exponent
Kategorie <Mathematik>
Schlussregel
Biprodukt
Teilbarkeit
Unendlichkeit
Quadratzahl
Differenzkern
Flächeninhalt
Zufallsvariable
Mereologie
Ordnung <Mathematik>
Prozess <Physik>
Punkt
Sterbeziffer
Gewichtete Summe
Zahlenbereich
Rechnen
Term
Division
Gerichteter Graph
Arithmetisches Mittel
Arithmetischer Ausdruck
Weg <Topologie>
Tourenplanung
Gleichgewichtspunkt <Spieltheorie>
Vorlesung/Konferenz
Gravitationsgesetz
Lineares Funktional
Subtraktion
Punkt
Approximation
Prozess <Physik>
Tabelle
Schlussregel
Ultraviolett-Photoelektronenspektroskopie
Division
Gesetz <Physik>
Quadratzahl
Forcing
Flächeninhalt
Gruppe <Mathematik>
Stichprobenumfang
Ablöseblase
Vorlesung/Konferenz
Gravitation
Distributionstheorie
Subtraktion
Minimierung
Wasserdampftafel
Natürliche Zahl
Familie <Mathematik>
Zahlenbereich
Derivation <Algebra>
BAYES
Gerichteter Graph
Eins
Weg <Topologie>
Arithmetischer Ausdruck
Erwartungswert
Vorzeichen <Mathematik>
Gruppe <Mathematik>
Inverser Limes
Vorlesung/Konferenz
Neunzehn
Optimierung
Schnitt <Graphentheorie>
Schätzwert
Parametersystem
Lineares Funktional
Approximation
Exponent
Tabelle
Betafunktion
Ereignishorizont
Entscheidungstheorie
Dichte <Physik>
Gefangenendilemma
Arithmetisches Mittel
Quadratzahl
Rechter Winkel
Tourenplanung
Mereologie
Geflecht <Mathematik>
Normalvektor
Distributionstheorie
Subtraktion
Zahlenbereich
Fortsetzung <Mathematik>
Term
Asymptote
Arithmetischer Ausdruck
Symmetrie
Randomisierung
Vorlesung/Konferenz
Wurzel <Mathematik>
Urbild <Mathematik>
Analytische Fortsetzung
Schnitt <Graphentheorie>
Lineares Funktional
Approximation
Tabelle
Stochastische Abhängigkeit
Ereignishorizont
Dichte <Physik>
Entscheidungstheorie
Endlicher Graph
Arithmetisches Mittel
Energiedichte
Quadratzahl
Menge
Flächeninhalt
Differenzkern
Einheit <Mathematik>
Zufallsvariable
Rechter Winkel
Ext-Funktor
Grenzwertberechnung
Standardabweichung
Nachbarschaft <Mathematik>
Distributionstheorie
Subtraktion
Momentenproblem
Hausdorff-Dimension
Zahlenbereich
Bilinearform
Ausdruck <Logik>
Überlagerung <Mathematik>
Freiheitsgrad
Erwartungswert
Einheit <Mathematik>
Exakter Test
Rangstatistik
Reelle Zahl
Vorlesung/Konferenz
Wurzel <Mathematik>
Analytische Fortsetzung
Gerade
Lineares Funktional
Grothendieck-Topologie
Graph
Physikalischer Effekt
Stochastische Abhängigkeit
Eindeutigkeit
Biprodukt
Kommutator <Quantentheorie>
Ereignishorizont
Gesetz <Physik>
Endlicher Graph
Dichte <Physik>
Arithmetisches Mittel
Objekt <Kategorie>
Teilmenge
Flächeninhalt
Rechter Winkel
Tourenplanung
Mereologie
Faktor <Algebra>
Garbentheorie
Ordnung <Mathematik>
Aggregatzustand
Distributionstheorie
Lineares Funktional
Momentenproblem
Exponent
Stochastische Abhängigkeit
Kardinalzahl
Gerichteter Graph
Teilbarkeit
Gradient
Dichte <Physik>
Unendlichkeit
Freiheitsgrad
Negative Zahl
Quadratzahl
Sortierte Logik
Radikal <Mathematik>
Meter
Vorlesung/Konferenz
Normalvektor
Gammafunktion
Chi-Quadrat-Verteilung
Gerade

Metadaten

Formale Metadaten

Titel Estimation of Parameters
Serientitel Introduction to Probability and Statistics 131A
Teil 11
Anzahl der Teile 16
Autor Cranston, Michael C.
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen 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 10.5446/12881
Herausgeber University of California Irvine (UCI)
Erscheinungsjahr 2013
Sprache Englisch

Technische Metadaten

Dauer 1:34:48

Inhaltliche Metadaten

Fachgebiet Mathematik

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