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標(biāo)題: Titlebook: Approximate Distributions of Order Statistics; With Applications to R.-D. Reiss Book 1989 Springer-Verlag New York Inc. 1989 Mathematica.Pa [打印本頁(yè)]

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作者: menopause    時(shí)間: 2025-3-21 21:56

作者: 熟練    時(shí)間: 2025-3-22 00:27
Approximate Distributions of Order Statistics978-1-4613-9620-8Series ISSN 0172-7397 Series E-ISSN 2197-568X
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作者: Metastasis    時(shí)間: 2025-3-22 10:56

作者: inculpate    時(shí)間: 2025-3-22 16:17
https://doi.org/10.1007/978-3-531-19022-8 bounds correspond to those for sums of independent r.v.’s. In Section 3.1 such bounds are established in the particular case of order statistics of i.i.d. random variables with common uniform d.f. on (0,1). This section also contains two applications to moments of order statistics.
作者: 就職    時(shí)間: 2025-3-22 17:27
Anforderungen an die Mitarbeiter,ributed. This result easily extends to the case of the joint distribution of a fixed number of central order statistics. In Section 4.1 we shall discuss some conditions which yield the weak and strong asymptotic normality of central order statistics.
作者: integrated    時(shí)間: 2025-3-22 23:17
,Führung zur Verhaltens?nderung,riety of limiting d.f.’s the situation of the present chapter turns out to be more complex than that of the preceding chapter, where weak regularity conditions guarantee the asymptotic normality of the order statistics.
作者: Exclude    時(shí)間: 2025-3-23 01:40
Erfolgsfaktor Performance Managementxtremes, whereas the nonparametric models contain actual distributions of sample extremes. The statistical inference within the nonparametric framework will be carried out by applying the parametric results.
作者: 骯臟    時(shí)間: 2025-3-23 08:31

作者: 阻擋    時(shí)間: 2025-3-23 11:40
978-1-4613-9622-2Springer-Verlag New York Inc. 1989
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作者: Harrowing    時(shí)間: 2025-3-23 19:42

作者: 良心    時(shí)間: 2025-3-24 02:10
https://doi.org/10.1007/978-3-658-01346-2The title of this chapter should be regarded more as a program than as a description of the content (in view of the declared aims of this book).
作者: 直覺(jué)沒(méi)有    時(shí)間: 2025-3-24 06:03

作者: Formidable    時(shí)間: 2025-3-24 08:08
Frank Deickert,Bj?rn Maier,Siegfried SchwabThis chapter starts with an introduction to “comparison of statistical models” where in addition to Section 9.1 we also make use of Markov kernels.
作者: Allure    時(shí)間: 2025-3-24 12:48

作者: 厚臉皮    時(shí)間: 2025-3-24 18:43

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作者: 全面    時(shí)間: 2025-3-25 03:15
Evaluating the Quantile and Density Quantile FunctionIn this chapter.In Chapter 9 this discussion will be continued by studying
作者: Noisome    時(shí)間: 2025-3-25 05:38
Approximate Sufficiency of Sparse Order StatisticsThis chapter starts with an introduction to “comparison of statistical models” where in addition to Section 9.1 we also make use of Markov kernels.
作者: Immunoglobulin    時(shí)間: 2025-3-25 07:38
https://doi.org/10.1007/978-3-642-78687-7ion 1.3, the d.f. and density of a single order statistic. From this result and from the well-known fact that the spacings of exponential r.v.’s are independent (the proof is given in Section 1.6) we deduce the joint density of several order statistics in Section 1.4.
作者: commensurate    時(shí)間: 2025-3-25 11:46

作者: 巧思    時(shí)間: 2025-3-25 17:24
https://doi.org/10.1007/978-3-531-19022-8 bounds correspond to those for sums of independent r.v.’s. In Section 3.1 such bounds are established in the particular case of order statistics of i.i.d. random variables with common uniform d.f. on (0,1). This section also contains two applications to moments of order statistics.
作者: 初次登臺(tái)    時(shí)間: 2025-3-25 20:37

作者: 喊叫    時(shí)間: 2025-3-26 00:54
,Führung zur Verhaltens?nderung,riety of limiting d.f.’s the situation of the present chapter turns out to be more complex than that of the preceding chapter, where weak regularity conditions guarantee the asymptotic normality of the order statistics.
作者: 不斷的變動(dòng)    時(shí)間: 2025-3-26 07:24

作者: Psa617    時(shí)間: 2025-3-26 11:00

作者: ambivalence    時(shí)間: 2025-3-26 13:47
Distribution Functions, Densities, and Representationsion 1.3, the d.f. and density of a single order statistic. From this result and from the well-known fact that the spacings of exponential r.v.’s are independent (the proof is given in Section 1.6) we deduce the joint density of several order statistics in Section 1.4.
作者: 核心    時(shí)間: 2025-3-26 18:34

作者: CRP743    時(shí)間: 2025-3-26 23:52
Inequalities and the Concept of Expansions bounds correspond to those for sums of independent r.v.’s. In Section 3.1 such bounds are established in the particular case of order statistics of i.i.d. random variables with common uniform d.f. on (0,1). This section also contains two applications to moments of order statistics.
作者: arabesque    時(shí)間: 2025-3-27 02:19
Approximations to Distributions of Central Order Statisticsributed. This result easily extends to the case of the joint distribution of a fixed number of central order statistics. In Section 4.1 we shall discuss some conditions which yield the weak and strong asymptotic normality of central order statistics.
作者: 變色龍    時(shí)間: 2025-3-27 07:50

作者: agglomerate    時(shí)間: 2025-3-27 09:53
Extreme Value Modelsxtremes, whereas the nonparametric models contain actual distributions of sample extremes. The statistical inference within the nonparametric framework will be carried out by applying the parametric results.
作者: 乞討    時(shí)間: 2025-3-27 15:57
Distribution Functions, Densities, and Representationsion 1.3, the d.f. and density of a single order statistic. From this result and from the well-known fact that the spacings of exponential r.v.’s are independent (the proof is given in Section 1.6) we deduce the joint density of several order statistics in Section 1.4.
作者: Suppository    時(shí)間: 2025-3-27 18:43
Multivariate Order Statisticsatistics dealt with in Chapter 1. Our treatment of multivariate order statistics will not be as exhaustive as that in the univariate case because of the technical difficulties and the complicated formulae for d.f.’s and densities.
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作者: 指派    時(shí)間: 2025-3-28 06:06

作者: 束縛    時(shí)間: 2025-3-28 10:08
Approximations to Distributions of Extremesriety of limiting d.f.’s the situation of the present chapter turns out to be more complex than that of the preceding chapter, where weak regularity conditions guarantee the asymptotic normality of the order statistics.
作者: COLON    時(shí)間: 2025-3-28 12:59

作者: outrage    時(shí)間: 2025-3-28 16:07
0172-7397 f order statistics (including the extreme order statistics) that are relevant for statistical theory and its applications. Particular emphasis is placed on results concern- ing the accuracy oflimit theorems, on higher order approximations, and other approximations in quite a general sense. Contrary
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作者: 令人不快    時(shí)間: 2025-3-28 23:27
Do Agglomeration Externalities Enhance Regional Performances in Production Process? A Stochastic Fro spillovers, we observe a reduction of the concentration and an increase of the diffusion process of efficiency among Italian regions. For some Northern and Central regions, we can observe that there are some richer regions and some poorer regions with regard to their capability to benefit from spatial spillovers.
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Markus Schmidmeiered and update edition of all relevant data. For each individual substance the information is presented in userfriendly documents, containing data, figs. and references. Easy access to the documents is provided via substance and property keywords, listings and full text retrieval.978-3-540-31360-1Series ISSN 1615-1844 Series E-ISSN 1616-9522
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Link Building on Demand in Multi-robots,zelte L?ngsschnittuntersuchungen zu den Merkmalen der parlamentarischen Elite (vgl. Van Hassel 1959; Schmidt 1970; Beaufays 1972). Hinzu kommen noch einige Studien über die legislative ,Klasse‘.. Einer der Gründe für das Fehlen wissenschaftlichen Interesses ist die Tabuisierung der Einkünfte von Pol
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Conference proceedings 2021echnologies and Applications (BDLTA 2021);?International Workshop on Computational and Applied Mathematics (CAM 2021); International Workshop on Computational and Applied Statistics (CAS 2021); International Workshop on Computerized Evaluation of Economic Activities: Urban Spaces (CEEA 2021).The cha




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