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1.
Zusammenfassung Es sei {F ,(x); –<<, >0} mitF ,(x)=F((x–)/)–F(x) eine standardisierte Verteilungsfunktion — die Familie der zulässigen Verteilungsfunktionen. Der (früher eingeführte) verallgemeinerte nichtzentralet-Test für die Hypothese {PP 0} mitP:=F ,(x 0) gegen die Alternative {P>P 0} zum Niveau wird mit dem entsprechenden nichtparametrischen Test (Test für die Hypothese {pP 0} über den Parameterp einer Binomialverteilung gegen die Alternative {p>P 0}) verglichen. Für dent-Test wird die relative asymptotische Effizienz bestimmt.Beide Tests lassen sich als Tests für das zur WahrscheinlichkeitP 0 gehörende Quantil einer Verteilungsfunktion interpretieren. Der klassische zentrale Student-Test ergibt sich als Spezialfall (F(x)=(x),P 0=0,5).
Summary Let {F ,(x);–<<, >0} withF ,(x 0):=F((x–)/–F(x) a standarized distribution function — the family of admissible distribution functions. The (earlier introduced) generalized noncentralt-test for the hypothesis {PP 0} withP:=F ,(x 0) against the alternative {P>P 0} at level of significance is compared with the corresponding nonparametric test (Binomial test). The relative asymptotic efficiency of thet-test is determined. Both kinds of tests can be interpreted as quantiltests. In caseF(x)=(x),P 0=0,5 one gets the classical central Student-test.
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2.
Dr. H. Vogt 《Metrika》1978,25(1):49-58
Summary If 1, 2,..., n and 1, 2,..., –1 are two ordered samples from a population with continuous distribution functionF(x), then the points ( r ,r/n),r=1, 2,..., n–1 provide a better approximation ofF(x) than the points ( r ,r/n),r=1, 2,..., n, in the following sense:A maximal upper deviation and a maximal lower deviation of more theny have — contrary to the points ( r ,r/n) — equal probability for anyy0, if we deal with the points ( r ,r/n). This probability is at least for ally in the interval , 1 less than the probability for a maximal upper deviation of more thany in the case of the points ( r ,r/n). This is shown by a comparison of the Smirnow-Birnbaum-Tingey — formula with an analogous formula for the maximal one-sided deviations of the points( r ,r/n).  相似文献   

3.
Dietmar Ferger 《Metrika》1994,41(1):277-292
We consider a sequenceX 1n,..., Xnn, n N, of independent random elements. Suppose there exists a [0, 1) such thatX 1n,...,X (n),n have the distribution v1 andX [n]+1.n ,...,X nn have the distribution v2v1. We construct consistent level- tests forH 0:=0 versusH 1:(0, 1), which are based on certainU-statistic type processes. A detailed investigation of the power function is also provided.  相似文献   

4.
Zusammenfassung Es wird eine optimale Strategie im Sinne des minimalen erwarteten Verlustes für die beiden Entscheidungeny>y o undyy o aufgrund der Messungen einer mitY positiv korrelierten, einfacher und/oder billiger zugänglichen ZufallsvariablenX abgeleitet. Dabei wird angenommen, daßX undY nach einer bivariaten Normalverteilung mit bekannten Parametern verteilt sind und die Entscheidungyy o getroffen wird, wennx größer ist als ein zu bestimmendesx o, und die Entscheidungy>y o, wennx gleich oder kleiner als diesesx o ist. Für die Bestimmung des optimalenx o werden zunächst die Kosten für die beiden Fehlentscheidungen jeweils als konstant vorausgesetzt, in einem weiteren Ansatz wird jedoch für die Mißklassifikationyy o eine mity exponentiell wachsende Risikofunktion angenommen. Um die relative Häufigkeit der zu erwartenden Fehlklassifikationen abschätzen zu können, wird schließlich die bedingte WahrscheinlichkeitP(x>x o,y) errechnet.
Summary An optimal strategy, with minimum expected risk, for the decisionsy>y o oryy o is constructed on the basis of the measurement of a variableX, which is positively correlated withY and can be measured more easily and/or with smaller expense. A bivariate normal distribution with known parameters is assumed forX andY. For the observationsx a limitx o is aimed at, so that the decisionsy>y o oryy o are taken ifx>x orxx o respectively. Optimal values ofx o are first calculated under the assumption of constant losses for the two misclassifications (x>x o ifyy o andxx o ify>y o). In a further approach the loss for a wrong decisionyy o is assumed to increase exponentially withy. Finally the conditional probabilityP (x>x o\y) is calculated to get an assessment of the relative frequencies of wrong decisions to be expected.
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5.
Let X (r, n, m, k), 1 r n, denote generalized order statistics based on an absolutely continuous distribution function F. We characterize all distribution functions F for which the following linearity of regression holds E(X(r+l,n,m,k) | X(r,n,m,k))=aX(r,n,m,k)+b.We show that only exponential, Pareto and power distributions satisfy this equation. Using this result one can obtain characterizations of exponential, Pareto and power distributions in terms of sequential order statistics, Pfeifers records and progressive type II censored order statistics. Received July 2001/Revised August 2002  相似文献   

6.
Summary The following renewal process is considrred: given intervals (kt 1,(k+1)t 1],k=0, 1, 2, ..., 0<t 1<, there will be with probabilityp, 0p1, a renewal in each interval at a time selected by random. The costs for each of this renewals are a units, while the costs of the other renewals areb units each. The renewal function and the cost function are derivided and their asymptotic behavior is discussed.  相似文献   

7.
E. Dettweiler 《Metrika》1978,25(1):247-254
Einleitung Es sei (,A) ein Meßraum undP eine Familie von Wahrscheinlichkeitsmaßen auf . IstP durch ein -endliches Maß dominiert, so ist nachPfanzagl [1960] für die Existenz eines überall trennscharfen Tests zu jedem Niveau für die HypotheseP=P o (P, P o P) gegen die AlternativePP 0 notwendig und hinreichend, daßP/{P 0} isotonen Likelihood-Quotienten bzgl.P 0 besitzt. Für den Fall, daßP total geordnet und dominiert ist, gilt nach [Pfanzagl, 1963] eine entsprechende Aussage: Genau dann existiert zu jedem Niveau ein überall trennscharfer Test, wennP isotonen Likelihood-Quotienten besitzt.Die vorliegende Arbeit zeigt, daß auf die Annahme der Dominiertheit verzichtet werden kann, und liefert darüber hinaus einen einheitlichen Beweis für die beiden oben zitierten Sätze vonPfanzagl.
Summary Two theorems ofPfanzagl [1960, 1963] about necessary and sufficient conditions for the existence of uniformly most powerful tests are generalized to the undominated case. Moreover a unified proof for the two theorems ofPfanzagl is given.
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8.
H. Stenger 《Metrika》1979,26(1):205-214
Summary Consider simple random sampling (without replacement) of a fixed size and lett 0 be the sample mean, i.e. the arithmetic mean of all variate values observed in the sample. The class {t 0: real} of estimators for the population mean (i.e. The arithmetic mean of all variate values) then surely is of interest.We discuss different types of variates, in particular variates with positive values only. For these variates the usual square error loss gives rise to a strange class of admissible estimators. An other type of loss functions seems far more appropriate. For this (logarithmic) type, t 0 is admissible iff =1. We prove that there exists no other type of loss functions with the property that the unbiased estimatort 0 is the only admissible element of the class {t 0: >0}.
Zusammenfassung Bei fest vorgegebenem Stichprobenumfang werde uneingeschränkt zufällig ausgewählt (ohne Zurücklegen);t 0 bezeichne das Stichprobenmittel, d.h. das arithmetische Mittel aller Stichprobenbeobachtungen des Untersuchungsmerkmals. Von besonderen Interesse ist dann zweifellos die Klasse {t 0: reell} von Schätzfunktionen für das Gesamtmittel, d.h. für das arithmetische Mittel aller Ausprägungen des Untersuchungsmerkmals.Wir betrachten verschiedene Typen von Untersuchungsmerkmalen, insbesondere Merkmale, die nur positive Ausprägungen besitzen. Für diese Merkmale führt die Verwendung der üblichen quadratischen verlustfunktion zu einer sehr merkwürdigen Klasse zulässiger Schätzfunktionen. Ein anderer Typ von Verlustfunktionen erscheint weit eher angebracht. Für diesen (logarithmischen) Typ ist t 0 genaudann zulässig, wenn =1 gilt. Wir beweisen, daß für keinen anderen Typ von Verlustfunktionent 0 das einzige zulässige Element der Klasse {t 0:>0} ist.
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9.
Axel Tenbusch 《Metrika》1994,41(1):233-253
A Bernstein polynomial estimator for fnN(x, y) for an unknown probability density functionf(x, y) concentrated on the triangle ={(x, y): 0x, y<1,x+y<1} or on the square =(x, y):0 x, y 1 is developed. As a measure of quality the exact order of magnitude for the pointwise mean squared error is established. It is seen that the quality of these Bernstein polynomial estimators is comparable with the quality of the so-called kernel estimators. Further for such estimators uniform weak consistency results and central limit theorems are developed.  相似文献   

10.
Si studia un modo di approssimare la probabilità di rovina relativa a un caricamento 0 con le probabilità di rovina relative a una successione di caricamenti ( k ) k , che approssimano 0 quandok tende all'infinito.
Summary In this paper we study a way of approximating the probability of ruin related to a loading 0, by the probabilities of ruin related of a sequence of loadings ( k ) k which «approximate» 0 ask converges to infinity.
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11.
Zusammenfassung In dieser Arbeit wird die asymptotische Verteilung des Prognosefehlers, wie er sich im Rahmen einer dynamischen Simulation eines allgemeinen autoregressiven ökonometrischen Modells der Ordnungp (einschließlich verzögerter exogener Variabler der Ordnungq) ergibt, abgeleitet. Daran anschließend werden einige Fragestellungen, die damit in unmittelbarem Zusammenhang stehen, diskutiert: Die Frage der relativen Effizienz der Prognoseschätzung, basierend auf der unrestricted- bzw. der derived reduced form, die Verwendung der asymptotischen Verteilung des Prognosefehlers für einen predictive test des Modells. Außerdem werden asymptotische simultane Prognoseintervalle abgeleitet.
Summary The asymptotic distribution of the forecast error in the dynamic simulation of a higher than first order linear dynamic econometric model is derived and related topics are discussed.
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12.
Si dimostrano condizioni necessarie e sufficienti relative a punti di Kuhn-Tucker per il «problema dei dadi truccati» e viene proposto un algoritmo per la ricerca di tali punti, tramite una successione di programmi lineari.
The author's version of the «loaded dice problem» asks for x1 to be maximum subject tox0 andx T H i x1, whereH i is the Hankel matrix of the (2n–1)-dimensional unity vectore i (i=1,..., 2n–1).Proofs are given here about necessary and sufficient conditions for Kuhn-Tucker points, together with an algorithm for finding them by means of a sequence of linear programs.
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13.
A curtailed test for the shape parameter of the Weibull distribution   总被引:1,自引:0,他引:1  
Summary A procedure is proposed in this paper for testing the shape parameter, of the Weibull distribution. The test statistic which is based on the extremal quotient, possesses a monotone property which makes it possible for rejection earlier than the last planned observation of the null hypothesis,H 0: =0 when the alternative hypothesis isH a: <0 and early acceptance ofH 0 whenH a: >0. The test being scale-free, does not require the scale parameter to be known.  相似文献   

14.
K. F. Cheng 《Metrika》1982,29(1):215-225
For a specified distribution functionG with densityg, and unknown distribution functionF with densityf, the generalized failure rate function (x)=f(x)/gG –1 F(x) may be estimated by replacingf andF byf n and , wheref n is an empirical density function based on a sample of sizen from the distribution functionF, and . Under regularity conditions we show and, under additional restrictions whereC is a subset ofR and n. Moreover, asymptotic normality is derived and the Berry-Esséen type bound is shown to be related to a theorem which concerns the sum of i.i.d. random variables. The order boundO(n–1/2+c n 1/2 ) is established under mild conditions, wherec n is a sequence of positive constants related tof n and tending to 0 asn.Research was supported in part by the Army, Navy and Air Force under Office of Naval Research contract No. N00014-76-C-0608. AMS 1970 subject classifications. Primary 62G05. Secondary 60F15.  相似文献   

15.
C. H. Kapadia  D. L. Weeks 《Metrika》1984,31(1):127-144
Summary In this paper, an Eisenmhart Model II with interaction for a GD-PBIB design withp replicates per cell is considered. Specifically the Model Yijl=µ+i+j+()ij+eijl is assumed, wherei=1, 2, ...,b; j=1, 2, ...,t andl=0, 1, 2, ...p s ij wheres ij=1, if treatmentj appears in blocki, 0, otherwise.If i, j, ()ij ande ijl are normally and independently distributed, then a minimal sufficient (Vector-valued) statistic for the class of densities for this model is found, together with the distribution of each component in the minimal sufficient statistic. It is also shown that the minimal sufficient statistic for this class densities is not complete. Hence the solution of the problem of finding minimum variance unbiased estimators of the variance components is not straightforward.  相似文献   

16.
B. Rüger 《Metrika》1978,25(1):171-178
Summary On one sample space there aren tests with critical regionsK 1 and levels of significance i ,i=1, ...,n (resp.n eventsK i in a probability space with probabilities not greater than i ,i=1, ...,n). In this paper we calculate the smallest upper bound of the level of significance of the test reject the hypothesis, if at leastk among the,n tests do so (resp. of the probability of the event at leastk among then events are realized). By the way, we will show, that this smallest upper bound does not change, if we replace at leastk by exactlyk.  相似文献   

17.
Dr. H. Neffke 《Metrika》1984,31(1):145-156
Summary Smith [1955] defined cumulative processes. He proved a strong law of large numbers and a central limit theorem for such processes. This paper deals with the Hartman-Wintner law of the iterated logarithm for cumulative processes using that one for sums [Hartmann/Wintner] and that one for renewal counting processes [Neffke, 1980; cf. alsoWalk].

Für identisch verteilte Zufallsvariablen wird der Index in Ausdrücken wieE (),P fortgelassen, alsoP , steht fürP i,i2.

Im folgenden beschränkt man sich aufv t()< für allet, also P. Dieses ist mit Wahrscheinlichkeit Eins erfüllt.  相似文献   

18.
Si considera la classe delle funzioni realiF(x,y) definite inS×S, conSR N , che soddisfano per ognix,yS la condizione di monotoniaF(x,y)+F(y,x)0. Indebolendo la precedente disuguaglianza si introducono classi di funzioni monotone generalizzate e, supponendo soddisfatta una opportuna condizione di omogeneità, si caratterizzano tali funzioni in base alla struttura del segno delle funzioni x, v (t, s) = F(x + tv, x + sv), x S, v R N \{0}. Infine dopo aver definite le funzioni F-differenziabili, si introducono classi di funzioni conversse generalizzate, rispetto ad F, e si studiano i collegamenti tra queste classi e la monotonia generalizzata diF.
Summary We consider the class of real valued functionF(x,y) defined inS×S, withSR N , satisfying x,yS the monotone conditionF(x,y)+F(y,x)0. Weakening the previous inequality we introduce the class of quasi-monotone, pseudo-monotone and strictly pseudo-monotone functions. Under a suitable assumption of homogeneity we characterize the generalized monotone functions studying the sign structure of the functions x, v (t, s) = F(x + tv, x + sv), x S, v R N \{0}.Finally by means of the notion ofF-differentiability we introduce new classes of generalized convex functions (with respect toF) and we study the relationship between these classes and the generalized monotonicity ofF.


Questa ricerca è stata parzialmente finanziata dal Ministero per l'Università e la Ricerca Scientifica.  相似文献   

19.
K. Takeuchi  M. Akahira 《Metrika》1986,33(1):217-222
Summary Assume thatX() is a continuous time simple Markov process with a parameter . The problem is to choose observation points 0 < 1 <...<T which provide with the maximum possible information on . Suppose that the observation points are equally spaced, that is, fort=1, ...,T, T, ;tt–1 is constant. Then the optimum value fors is obtained.  相似文献   

20.
Summary In an extension of the two decision approach [Bauer, Scheiber andWohlzogen, 1975] a Bayes solution is aimed at for the three decisiony>y o,yy o or no classification on the basic of the measurement of a positively correlated random variableX, which can be measured more easily and/or with smaller expense. Assuming a bivariate normal distribution forX andY optimal decision regions for the measuredx are derived in the case of constant or exponentially increasing losses.
Zusammenfassung In Erweiterung des Zwei-Entscheidungsproblems [Bauer, Scheiber undWohlzogen, 1975] wird eine Bayes-Lösung für die drei Entscheidungeny>y 0,yy 0 oder keine Zuordnung aufgrund der Messung einer mitY positiv korrelierten, einfacher und/oder billiger zugänglichen ZufallsvariablenX angestrebt. Optimale Entscheidungsbereiche für die Messungenx werden bei Voraussetzung einer bivariaten Normalverteilung fürX undY unter der Annahme konstanter oder exponentiell wachsender Verluste bestimmt.
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