Se analizan tres aspectos relacionados con los procedimientos robustos, especialmente en el modelo de regresión lineal simple y multivariada. El primer aspecto se refiere a los funda- mentos teóricos de los métodos robustos presentándose un resumen de la notación adoptada en los problemas a tratar. El segundo aspecto trata sobre la implementación del "software" ROBETH sobre plataforma S-PLUS con aplicaciones a conjuntos de datos. El tercer aspecto trata de la realización de una pequeña guía explicativa de los principales rasgos de programación y convenciones del ROBETH. Esta tesis está organizada de la siguiente manera: el Capítulo 1 trata sore el análisis de los problemas de locación de una y dos muestras; el Capítulo 2 se refiere a soluciones robustas de los problemas de regresión lineal basadas en M-estimadores; el Capítulo 3 se refiere al cálculo de la estimación de la matriz de cavarianza de los coeficientes estimados según el Capítulo 2. Y finalmente el Capítulo 4 ser refiere al cálculo de estimadores con alto punto de ruptura en regresión lineal. Se incluye, además, apéndices que contienen rasgos de programación y convenciones del ROBETH. Se adjunta un CD, en donde se detalla el desarrollo de cada una de las subrutinas tratadas en los capítulos anteriores y algunas subrutinas de servicio mencionadas en el apéndice A.

Diss. Staatswiss. Basel, 1994. / Register. Literaturverz.

Cílem této diplomové práce je praktické i teoretické seznámení uživatelů neparametrických metod s několika vybranými statistickými programy, v nichž je možné neparametrické analýzy provádět. Nedílnou součástí cíle je i porovnání těchto programů. V teoretické části jsou stručně popsány základy testování statistických hypotéz a teorie neparametrických testů. V praktické části jsou prozkoumány programy NCSS 2007, Statistica 7, SPSS 15, Systat 12, Stagraphics Centurion XV, Minitab 15, S-Plus 6.2, SAS 9.1 a StatXact 7. U každého software jsou popsány neparametrické testy, které obsahuje, a zjednodušeně i vkládání dat a výstupy. Nakonec jsou vybrané programy porovnány z několika hledisek. Všechny vybrané programy obsahují značné množství neparametrických testů a liší se většinou jen v detailech. Pro většinu analýz není potřeba hledat speciální programy a dají se použít všechny vybrané, pouze pro porovnávání rozptylů je nutné použít buď SAS nebo StatXact, protože v jiných programech ve výběru tyto testy nenalezneme.

Approved for public release; distribution in unlimited. / Budget limitations have reduced the number of military components available for testing, and time constraints have reduced the amount of time available for actual testing resulting in many items still operating at the end of test cycles. These two factors produce small test populations (small sample size) with "heavily" censored data. The assumption of "normal approximation" for estimates based on these small sample sizes reduces the accuracy of confidence bounds of the probability plots and the associated quantities. This creates a problem in acquisition analysis because the confidence in the probability estimates influences the number of spare parts required to support a mission or deployment or determines the length of warranty ensuring proper operation of systems. This thesis develops a method that simulates small samples with censored data and examines the error of the Fisher-Matrix (FM) and the Likelihood Ratio Bounds (LRB) confidence methods of two test populations (size 10 and 20) with three, five, seven and nine observed failures for the Weibull distribution. This thesis includes a Monte Carlo simulation code written in S-Plus that can be modified by the user to meet their particular needs for any sampling and censoring scheme. To illustrate the approach, the thesis includes a catalog of corrected confidence bounds for the Weibull distribution, which can be used by acquisition analysts to adjust their confidence bounds and obtain a more accurate representation for warranty and reliability work. / Civilian, Department of the Air Force

Submitted by Melchior Felix (melchior_felix@yahoo.com.br) on 2014-08-27T23:26:03Z No. of bitstreams: 1 Memória Longa em Dados Intradiários - Melchior Vinicius dos Santos Felix.pdf: 1262687 bytes, checksum: e23c42090eb78ab8e9251f4e82fa6bc1 (MD5) / Approved for entry into archive by JOANA MARTORINI (joana.martorini@fgv.br) on 2014-08-28T18:42:44Z (GMT) No. of bitstreams: 1 Memória Longa em Dados Intradiários - Melchior Vinicius dos Santos Felix.pdf: 1262687 bytes, checksum: e23c42090eb78ab8e9251f4e82fa6bc1 (MD5) / Made available in DSpace on 2014-08-28T19:38:24Z (GMT). No. of bitstreams: 1 Memória Longa em Dados Intradiários - Melchior Vinicius dos Santos Felix.pdf: 1262687 bytes, checksum: e23c42090eb78ab8e9251f4e82fa6bc1 (MD5) Previous issue date: 2014-07-31 / Mandelbrot (1971) demonstrou a importância de considerar dependências de longo prazo na precificação de ativos - o método tradicional para mensurá-las, encontrado em Hurst (1951), faz uso da estatística R/S. Paralelamente a isso, Box e Jenkins (1976; edição original de 1970) apresentaram sua famosa metodologia para determinação da ordem dos parâmetros de modelos desenvolvidos no contexto de processos com memória de curto prazo, conhecidos por ARIMA (acrônimo do inglês Autoregressive Integrated Moving Average). Estimulados pela percepção de que um modelo que pretenda representar fielmente o processo gerador de dados deva explicar tanto a dinâmica de curto prazo quanto a de longo prazo, Granger e Joyeux (1980) e Hosking (1981) introduziram os modelos ARFIMA (de onde o F adicionado vem de Fractionally), uma generalização da classe ARIMA, nos quais a dependência de longo prazo estimada é relacionada ao valor do parâmetro de integração. Pode-se dizer que a partir de então processos com alto grau de persistência passaram a atrair cada vez mais o interesse de pesquisadores, o que resultou no desenvolvimento de outros métodos para estimá-la, porém sem que algum tenha se sobressaído claramente – e é neste ponto que o presente trabalho se insere. Por meio de simulações, buscou-se: (1) classificar diversos estimadores quanto a sua precisão, o que nos obrigou a; (2) determinar parametrizações razoáveis desses, entendidas aqui como aquelas que minimizam o viés, o erro quadrático médio e o desvio-padrão. Após rever a literatura sobre o tema, abordar estes pontos se mostrou necessário para o objetivo principal: elaborar estratégias de negociação baseadas em projeções feitas a partir da caracterização de dependências em dados intradiários, minuto a minuto, de ações e índices de ações. Foram analisadas as séries de retornos da ação Petrobras PN e do Índice Bovespa, com dados de 01/04/2013 a 31/03/2014. Os softwares usados foram o S-Plus e o R. / Mandelbrot (1971) demonstrated the need to take into account long-term dependences when pricing assets – the traditional method to measure it, proposed by Hurst (1951), is based on the R/S statistic. In parallel to this, Box and Jenkins (1976; first edition in 1970) presented their famous methodology to determine the order of the parameters of models developed in the context of short memory processes, known as ARIMA (acronym to Autoregressive Integrated Moving Average). Motivated by the perception that a model that aims to described correctly the data generating process needs to explain both the short-term as well as the longterm dynamics, Granger and Joyeux (1980) and Hosking (1981) introduced the ARFIMA models (the F is due to the added term Fractionally), a generalization of the ARIMA class, in which the estimated long-term dependence is related to the value of the integration parameter. It can be said that since then processes with a high degree of persistence have attracted greater interest of researchers, what resulted in the development of new methods to estimated it, although none of them has clearly excelled – and is at this point that the present work stands itself. Through simulations, we targeted to: (1) rank many estimators according to precision, what showed the necessity to; (2) determine reasonable values for the input parameters, defined as those that minimize the bias, the mean squared error and the standard deviation. Past reviewing the literature about the subject, analyzing these points proved necessary to the main objective: creating trading strategies based on forecasts derived through the characterization of dependences in intradaily quotes, minute by minute, of equities and equity indexes. In the tests were analyzed the Petrobras PN and Bovespa Index returns time series, from the period ranging from April 1st, 2013 to March 31st, 2014. The softwares used were the S-Plus e the R.

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Nutzerinformationen des Universitätsrechenzentrums:A Toolbox for System Configuration and Administration (ToSCA) Sicheres Programmieren mit PHP (Teil 3) 'Nutzerforum des URZ' - Neue Veranstaltungsreihe IP-Adressvergabe Windows XP Service Pack 2 - Erfahrungen im URZ Adobe-Rahmenvertrag Kurzinformationen Software-News