Relevant bibliographies by topics / Cusum

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cusum'

Author: Grafiati
Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "Cusum"

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Yeung, Jacky, and Sherif El-Defrawy. "CUSUM." Evidence-Based Ophthalmology 12, no. 1 (January 2011): 34–35. http://dx.doi.org/10.1097/ieb.0b013e3181f43daf.

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Murgatroyd, H., U. M. Belliappa, and M. Purva. "Defending CUSUM." Anaesthesia 66, no. 8 (July 13, 2011): 745–46. http://dx.doi.org/10.1111/j.1365-2044.2011.06811_1.x.

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HAN, DONG, FUGEE TSUNG, and YANTING LI. "A CUSUM CHART WITH LOCAL SIGNAL AMPLIFICATION FOR DETECTING A RANGE OF UNKNOWN SHIFTS." International Journal of Reliability, Quality and Safety Engineering 14, no. 02 (April 2007): 81–97. http://dx.doi.org/10.1142/s0218539307002520.

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The cumulative sum (CUSUM) control chart is one of the most dominant statistical process control schemes. Despite its simplicity, its performance deteriorates when the actual mean shift is unknown. In this paper, we present an effective alternative approach called the CUSUM chart with local signal amplification (LSA-CUSUM) by amplifying or weakening local signals to improve the power of the traditional CUSUM chart in detecting an unknown mean shift over a range. Additionally, we introduce a measure for evaluating the efficiency of the LSA-CUSUM chart to detect a pre-specified mean shift range and describe a procedure to find an approximately optimal LSA-CUSUM chart over a mean shift range. Comparisons of the simulation results show that the proposed approxmated optimal LAS-CUSUM chart outperforms its traditional counterpart.
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Poetrodjojo, S., M. A. Abdollahian, and Narayan C. Debnath. "Optimal Cusum schemes for monitoring variability." International Journal of Mathematics and Mathematical Sciences 32, no. 1 (2002): 1–15. http://dx.doi.org/10.1155/s0161171202202239.

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Cumulative Sum (Cusum) Control Schemes are widely used in industry for process and measurement control. Most Cusum applications have been in monitoring shifts in the mean level of a process rather than process variability. In this paper, we study the use of Markov chain approach in calculating the average run length (ARL) of a Cusum scheme when controlling variability. Control statisticsSandS2, whereSis the standard deviation of a normal process are used. The optimal Cusum schemes to detect small and large increases in the variability of a normal process are designed. The control statisticS2is then used to show that the Cusum scheme is superior to the exponentially weighted moving average (EWMA) in terms of its ability to quickly detect any large or small increases in the variability of a normal process. It is also shown that Cusum with control statistics sample variance(S2)and sample standard deviation(S)perform uniformly better than those with control statisticlogS2. Fast initial response (FIR) Cusum properties are also presented.
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Ploberger, Werner, and Walter Krämer;. "The Local Power of the CUSUM and CUSUM of Squares Tests." Econometric Theory 6, no. 3 (September 1990): 335–47. http://dx.doi.org/10.1017/s0266466600005302.

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We consider the local power of the cusum and cusum of squares tests for structural change in the linear regression model. We show that the local power of the cusum of squares test equals its size for a wide class of structural changes, as compared to a nontrivial local power for the cusum test. The conventional ranking of these procedures is thus reversed.
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Walter, Olga Maria Formigoni Carvalho. "Aplicação individual e combinada dos gráficos de controle Shewhart e CUSUM: uma aplicação no setor metal mecânico." Gestão & Produção 20, no. 2 (June 2013): 271–86. http://dx.doi.org/10.1590/s0104-530x2013000200003.

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O presente artigo tem como objetivo analisar e controlar estatisticamente um processo industrial, em que o gráfico do tipo Shewhart é o atualmente utilizado. A partir de uma aplicação realizada por meio da pesquisa axiomática quantitativa, são analisadas outras opções como o emprego de um gráfico CUSUM e um gráfico combinado Shewhart-CUSUM. Paralelamente à aplicação dos gráficos de controle, foram desenvolvidos scripts em ambiente R para calcular os limites de controle do gráfico CUSUM, por meio da aproximação de Siegmund (1985) e da construção do gráfico combinado Shewhart-CUSUM. Os resultados demonstram que a aplicação, tanto do gráfico CUSUM quanto do gráfico combinado Shewhart-CUSUM, possibilita detectar interferências no processo, as quais não foram identificadas pelo gráfico do tipo Shewhart. Assim, considera-se o gráfico de controle CUSUM, isolado ou combinado com o gráfico do tipo Shewhart, uma ferramenta preventiva mais sensível para avaliar interferências na qualidade do processo. Este artigo será útil tanto para pesquisadores quanto para profissionais da área de Engenharia de Produção e gestão de operações interessados em melhor compreender os parâmetros que compõem o projeto de um gráfico de controle CUSUM, bem como introduzi-lo em processos nos quais atualmente se utiliza somente o gráfico de controle de Shewhart.
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ناصر, جنان عباس. "حول خصائص طول التشغيل للوحتي سيطرة ( المجموع المتراكم (Cusum) و المتوسط المتحرك الموزون اسيا (EWMA) ) لتوزيع بواسون." Journal of Economics and Administrative Sciences 25, no. 114 (October 1, 2019): 475–97. http://dx.doi.org/10.33095/jeas.v25i114.1747.

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في هذا البحث نتحرى حول خصائص طول التشغيل للوحتي سيطرة المجموع المتراكم (cumulative sum (Cusum)) والمتوسط المتحرك الموزون اسيا (Exponentially Weighted Moving Average (EWMA)) للكشف عن الانحرافات الموجبة في متوسط العملية عندما تكون العملية تتبع توزيع بواسون بمتوسط غير معلوم. وقد استعمل اسلوب سلسلة ماركوف لحساب المتوسط والانحراف المعياري لطول التشغيل للوحتي سيطرة المجموع المتراكم (Cusum) والمتوسط المتحرك الموزون اسيا (EWMA) عندما يكون المتغير تحت السيطرة يتبع توزيع بواسون. استعملت لوحتي سيطرة الـ Cusum والـ EWMA أيضا لمراقبة متوسط العملية عندما المشاهدات (منتجات اختيرت من مصنع المأمون) تكون مستقلة ومتطابقة التوزيع (iid) من توزيع بواسون بعملية تصنيع مستمرة. اذ افترضنا عدة قيم لمعلمات للوحتي سيطرة الـ poisson Cusum والـ EWMA poisson ولعدد حالات لسلسلة ماركوف. وقد استحصلت نتائج البحث باستعمال برامج مكتوبة ببرنامج Matlab -R2018a . تبين نتائج البحث بان لوحاتي سيطرة الـ poisson Cusum والـ EWMA poisson كانت حساسة أكثر عند قيم معينة لمعلمات لوحتي سيطرة الـ poisson Cusum والـ EWMA poisson. ولعدد الحالات في سلسلة ماركوف.
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Liu, Chao, Qingjie Xu, Ya Fan, Hao Wu, Jian Chen, and Peng Lin. "Detection of Abnormal Data in GNSS Coordinate Series Based on an Improved Cumulative Sum." Sustainability 15, no. 9 (April 26, 2023): 7228. http://dx.doi.org/10.3390/su15097228.

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The global navigation satellite system (GNSS), as a high-time resolution and high-precision measurement technology, has been widely used in the field of deformation monitoring. Owing to the influence of uncontrollable factors, there are inevitably some abnormal data in the GNSS monitoring series. Thus, it is necessary to detect and identify abnormal data in the GNSS monitoring series to improve the accuracy and reliability of the deformation disaster law analysis and warning. Many methods can be used to detect abnormal data, among which the statistical process control theory, represented by the cumulative sum (CUSUM), is widely used. CUSUM usually constructs statistics and determines control limits based on the threshold criteria of the average run length (ARL) and then uses the control limits to identify abnormal data in CUSUM statistics. However, different degrees of the ‘trailing’ phenomenon exist in the interval of abnormal data identified by the algorithm, leading to a higher false alarm rate. Therefore, we propose an improved CUSUM method that uses breaks for additive season and trend (BFAST) instead of ARL-based control limits to identify abnormal data in CUSUM statistics to improve the accuracy of identification. The improved CUSUM method is used to detect abnormal data in the GNSS coordinate series. The results show that compared with CUSUM, the improved CUSUM method shows stronger robustness, more accurate detection of abnormal data, and a significantly lower false alarm rate.
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Waldstein, W., P. A. Bouché, C. Pottmann, M. Faschingbauer, P. R. Aldinger, R. Windhager, and C. Merle. "Quantitative and individualized assessment of the learning curve in preoperative planning of the acetabular cup size in primary total hip arthroplasty." Archives of Orthopaedic and Trauma Surgery 141, no. 9 (March 11, 2021): 1601–8. http://dx.doi.org/10.1007/s00402-021-03848-6.

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Abstract Introduction The aim of the present study was to investigate the learning curves of 2 trainees with different experience levels to reach proficiency in preoperative planning of the cup size based on learning curve cumulative summation (LC-CUSUM) statistics and a cumulative summation (CUSUM) test. Materials and methods One-hundred-twenty patients who had undergone primary total hip arthroplasty with a cementless cup were selected. Preoperative planning was performed by an experienced orthopedic surgeon. Trainee 1 (student) and trainee 2 (resident) planned the cup size. The trainees were blinded to the preoperative plan and the definitive cup size. Only after a cup size was chosen, the trainees were unblinded to the preoperative plan of the surgeon. LC-CUSUM was applied to both trainees to determine when proficiency in determining the appropriate cup size was reached. A CUSUM test was applied to ensure retention of proficiency. Results With reference to the preoperative plan of the surgeon, LC-CUSUM indicated proficiency after 94 planning attempts for trainee 1 and proficiency after 66 attempts for trainee 2, respectively. Trainee 1 and 2 maintained proficiency thereafter. With reference to the definitive cup size, LC-CUSUM did not signal competency within the first 120 planning attempts for trainee 1. Trainee 2 was declared competent after 103 attempts and retained competency thereafter. Conclusions LC-CUSUM/CUSUM allow for an individualized, quantitative and continuous assessment of planning quality. Based on LC-CUSUM statistics, the two trainees of this study gain proficiency in planning of the acetabular cup size after 50–100 attempts when an immediate feedback is provided. Previous experience positively influences the performance. The study serves as basis for the medical education of students and residents in joint replacement procedures.
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Pazhayamadom, Deepak George, Ciarán J. Kelly, Emer Rogan, and Edward A. Codling. "Self-starting cumulative sum harvest control rule (SS-CUSUM-HCR) for status-quo management of data-limited fisheries." Canadian Journal of Fisheries and Aquatic Sciences 73, no. 3 (March 2016): 366–81. http://dx.doi.org/10.1139/cjfas-2015-0039.

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We demonstrate a harvest control rule based on the self-starting cumulative sum (SS-CUSUM) control chart that can maintain a fish stock at its starting (status-quo) level. The SS-CUSUM is an indicator monitoring tool commonly used in quality control engineering and does not require a long time series or predefined reference point for detecting temporal trends. The reference points in SS-CUSUM are calibrated in the form of running means that are updated on an ongoing basis when new observations become available. The SS-CUSUM can be initiated with as few as two observations in the time series and can be applied long before many other methods, soon after initial data become available. A wide range of stock indicators can be monitored, but in this study, we demonstrate the method using an equally weighted sum of two indicators: a recruitment indicator and a large fish indicator from a simulated fishery. We assume that no life history data are available other than 2 years of both indicator data and current harvest levels when the SS-CUSUM initiates. The signals generated from SS-CUSUM trigger a harvest control rule (SS-CUSUM-HCR), where the shift that occurs in the indicator time series is computed and is used as an adjustment factor for updating the total allowable catch. Our study shows that the SS-CUSUM-HCR can maintain the fish stock at its starting status-quo level (even for overfished initial states) but has limited scope if the fishery is already in an undesirable state such as a stock collapse. We discuss how the SS-CUSUM approach could be adapted to move beyond a status-quo management strategy, if additional information on the desirable state of the fishery is available.
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Dissertations / Theses on the topic "Cusum"

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Alves, Custodio da Cunha. "Gráficos de Controle CUSUM." Florianópolis, SC, 2003. http://repositorio.ufsc.br/xmlui/handle/123456789/84565.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia de Produção.
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O monitoramento efetivo das características da qualidade de um processo de produção depende freqüentemente de ferramentas estatísticas para a detecção, identificação e análise das causas significantes responsáveis por variações que afetam o comportamento do processo de maneira imprevisível. Os gráficos de controle CUSUM, baseados em somas acumuladas, são ferramentas estatísticas utilizadas com sucesso no monitoramento do desempenho de diferentes processos industriais. Estes gráficos podem complementar ou substituir com vantagens os tradicionais gráficos de Shewhart, podendo permitir, em função do caso em análise, a obtenção de uma solução mais precisa, a um custo e prazos menores que os requeridos pelas metodologias tradicionais. Neste trabalho, um comparativo do desempenho dos gráficos de Shewhart e CUSUM é realizado a partir de um estudo de caso realizado em uma indústria de artefatos de borracha, no qual se utilizam dados reais de dois processos industriais: um processo com observações amostrais e o outro com observações individuais. O objetivo deste estudo é investigar a sensibilidade existente entre estes gráficos quanto a utilização de cada um deles para detectar pequenas e permanentes mudanças na média do processo na ordem de até 1,5 desvio padrão. Os resultados obtidos deste estudo de caso indicaram ser preferível o uso de gráficos CUSUM ao uso de gráficos Shewhart para monitorar as pequenas variações na média da característica da qualidade de ambos os processos estudados.
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Ding, Keyue. "Inference problems after CUSUM tests." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0030/NQ46830.pdf.

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Hongcheng, Li. "Multivariate Extensions of CUSUM Procedure." Kent State University / OhioLINK, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=kent1185558637.

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Lundell, David. "Detektion av vätgasläckor med CUSUM-algoritmen." Thesis, Linköping University, Department of Electrical Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-18634.

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Detektion av gasläckor används i en mängd olika applikationer som till exempel kvalitetskontroll av kylskåp, lokalisering av skador på kablar och lokalisering av bränsleläckor i bränsletankar.

Denna rapport undersöker förbättring av detektionsalgoritmen i en existerande vätgasdetektor.

CUSUM algoritmen är en enkel men kraftfull metod för att snabbt detektera små ändringar i nivån av en signal. Denna metod är anpassad till det dynamiska beteendet i sensorn som används för att spåra vätgasläckorna och även utvärderad på omfattande mätningar utförda på läckor med kända storlekar. Resultaten visar att användning av den föreslagna detektionsalgoritmen innebär en betydande ökning av detektorns prestanda. Särskilt bra blir resultatet på små läckor.

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Eger, Karl-Heinz, and Evgeni Borisovich Tsoy. "CUSUM tests based on grouped observations." Universitätsbibliothek Chemnitz, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200901820.

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This paper deals with CUSUM tests based on grouped or classified observations. The computation of average run length is reduced to that of solving of a system of simultaneous linear equations. Moreover a corresponding approximation based on the Wald approximations for characteristics of sequential likelihood ratio tests is presented. The effect of grouping is investigated with a CUSUM test for the mean of a normal distribution based on F-optimal grouping schemes. The considered example demonstrates that hight efficient CUSUM tests can be obtained for F-optimal grouping schemes already with a small number of groups.
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Böhm, Walter, and Peter Hackl. "CUSUM Chart for Correlated Control Variables." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1991. http://epub.wu.ac.at/76/1/document.pdf.

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The cumulative sum (CUSUM) technique is well-established in theory and practice of process control. A comprehensive exposition of the method is given, e.g., by Wetherill and Brown (1991). A question that is seldom treated in the literature is that on the effect of serial correlation of the control variable. Johnson and Bagshaw (1974) investigate the effect of correlation on the run length distribution when the control variable follows a first order autoregressive or moving average process. They also give an approximate expression for the average run length of the CUSUM- technique for correlated control variables. In this paper we derive an exact expression for the average run length of a discretized CUSUM-technique, i.e., a technique that uses a scoring system for the observations of the control variable. The scoring system is that suggested by Munford (1980). Our results are derived for a control variable that is assumed to follow a first order autoregressive process and with normally distributed disturbances. After deriving in Section 2 the expression for the average run length we discuss its dependence on the process parameter and give a numerical illustration. In Section 3 we discuss corrections for the CUSUM-technique in order to keep the nominal risk for an out-of-control decision and compare our results with those given by Johnson and Bagshaw (1974). (author's abstract)
Series: Forschungsberichte / Institut für Statistik
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Spindler, Susan L. "Evaluation of some multivariate CUSUM schemes /." Online version of thesis, 1987. http://hdl.handle.net/1850/10330.

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Yao, Shangchen. "Multi-dimensional CUSUM and SPRT Procedures." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent1555001577068819.

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Zeileis, Achim. "p values and alternative boundaries for CUSUM tests." SFB Adaptive Information Systems and Modelling in Economics and Management Science, WU Vienna University of Economics and Business, 2000. http://epub.wu.ac.at/1778/1/document.pdf.

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Firstly rather accurate approximations to the p value functions of the common Standard CUSUM test and the OLS-based CUSUM test for structural change are derived. Secondly alternative boundaries for both tests are suggested and their properties are examined by simulation of expected p values. It turns out that the power of the OLS-based CUSUM test for early and late structural changes can be improved, whereas this weakness of the Standard CUSUM test cannot be repaired by the new boundaries.
Series: Working Papers SFB "Adaptive Information Systems and Modelling in Economics and Management Science"
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Henning, Elisa. "Aperfeiçoamento e desenvolvimento dos gráficos combinados Shewhart-Cusum binomiais." reponame:Repositório Institucional da UFSC, 2012. http://repositorio.ufsc.br/xmlui/handle/123456789/94399.

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Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2010
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Os tradicionais gráficos de controle Shewhart são considerados efetivos na detecção de grandes mudanças na média, variância ou na fração não conforme, enquanto que gráficos de controle de soma cumulativa (CUSUM) são recomendados para a sinalização de pequenas e moderadas alterações nestes parâmetros. Nenhum dos gráficos mencionados terá um bom desempenho em todas as situações. Uma solução possível para este problema é combinar múltiplos gráficos para abranger mudanças de diversas magnitudes. Assim, um gráfico combinado Shewhart-CUSUM tem como finalidade aumentar a sensibilidade do procedimento CUSUM para alterações maiores. Este trabalho traz várias contribuições para o desenvolvimento e aperfeiçoamento de gráficos combinados Shewhart-CUSUM para dados com distribuição binomial. Inicialmente, a partir do resultado de simulações, analisa-se o desempenho de um gráfico combinado e, se a adição de linhas Shewhart a um gráfico CUSUM binomial unilateral superior realmente aumenta a sensibilidade deste. O desempenho de um gráfico combinado Shewhart-CUSUM é também comparado com o gráfico tipo Shewhart e com procedimentos CUSUM delineados para detecção de mudanças maiores. Pensando em aplicações, foi elaborada uma metodologia para construção de um gráfico combinado incluindo a análise das suposições necessárias (aderência, autocorrelação e superdispersão). Para finalizar, esta metodologia foi aplicada a dados adaptados da literatura e também de processos reais. O trabalho ainda contempla algumas contribuições adicionais como o uso de limites exatos (ou probabilísticos) na parte Shewhart do gráfico combinado e uma proposta de aproximação para o limite superior do CUSUM binomial. Os resultados obtidos revelam que o gráfico combinado Shewhart-CUSUM aumenta a sensibilidade de um gráfico CUSUM binomial para magnitudes de mudança maiores que as de planejamento e identificou-se a existência de uma região onde o gráfico combinado tem desempenho superior aos dois gráficos individuais. Os resultados das aplicações foram satisfatórios, validando a metodologia elaborada. A partir das aplicações foram sinalizadas situações práticas onde o gráfico combinado é mais efetivo que os gráficos individuais.
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Books on the topic "Cusum"

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Alt, Raimund. Neue Untersuchungen zum Cusum-Test. Wien: Inst.f.Hohere Studien, 1985.

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Alt, Raimund & Kramer, Walter. A Modification of the Cusum Test. Wien: Inst.f.Hohere Studien, 1986.

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Harris, Peter. Energy monitoring and target setting using CUSUM. Cambridge: Cheriton Technology Publications, 1989.

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Srivastava, M. S. Multivariate cusum procedures for normal mean vector. Toronto: University of Toronto, Dept. of Statistics, 1989.

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Q, Morton A., Farringdon Michael G, and Baker M. D, eds. Analysing for authorship: A guide to the cusum technique. Cardiff: University of Wales Press, 1996.

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Rendtel, Ulrich. Verallgemeinerte CUSUM-Kontrollkarten und ihre Anwendung auf die Annahmestichprobenprüfung. [S.l.]: [s.n.], 1986.

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Glas, Cees A. W. CUSUM statistics for large item banks: Computation of standard errors. Newtown, PA: Law School Admission Council, 2001.

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Institute of Rural Management (Ānand, India), ed. Design and application of risk adjusted cumulative sum (RACUSUM) for online strength monitoring of ready mixed concrete. Ahmedabad: Indian Institute of Management, 2008.

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Srivastava, M. S. Fast accurate approximations for the ARLs of the Fir CUSUM scheme and a simple method to calculate the decision boundary for the CUSUM scheme. Toronto: Dept. of Statistics, University of Toronto, 1992.

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Srivastava, M. S. Comparison of the CUSUM procedure with other procedures that detect an increase in the variance and a fast accurate approximation for the ARL of the CUSUM procedure. Toronto: University of Toronto, Dept. of Statistics, 1992.

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Book chapters on the topic "Cusum"

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Seshadri, V. "Cusum." In The Inverse Gaussian Distribution, 309–13. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4612-1456-4_27.

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Hawkins, Douglas M., and David H. Olwell. "CUSUM design." In Cumulative Sum Charts and Charting for Quality Improvement, 31–45. New York, NY: Springer New York, 1998. http://dx.doi.org/10.1007/978-1-4612-1686-5_2.

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Bissell, Derek. "Cusum methods." In Statistical Methods for SPC and TQM, 191–229. Boston, MA: Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-7120-3_12.

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Nahler, Gerhard. "CUSUM plot." In Dictionary of Pharmaceutical Medicine, 44. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_328.

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Tang, L. C., and O. O. Atienza. "CUSUM and Backward CUSUM for Autocorrelated Observations." In Six Sigma, 381–405. Chichester, UK: John Wiley & Sons, Ltd, 2006. http://dx.doi.org/10.1002/0470062002.ch25.

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Owen, Mal. "The Cusum technique." In SPC and Continuous Improvement, 265–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-22419-9_13.

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Cheng, Smiley W., and Keoagile Thaga. "The Max-CUSUM Chart." In Frontiers in Statistical Quality Control 9, 85–98. Heidelberg: Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2380-6_6.

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Levinson, William A. "Cumulative Sum (CUSUM) Chart." In Short-Run SPC for Manufacturing and Quality Professionals, 33–62. New York: Productivity Press, 2022. http://dx.doi.org/10.4324/9781003281061-3.

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Oakland, John, and Robert Oakland. "Cumulative sum (cusum) charts." In Statistical Process Control, 218–43. 7th ed. 7th edition. | Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781315160511-9.

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Xie, M., T. N. Goh, and V. Kuralmani. "CUSUM and EWMA Procedures." In Statistical Models and Control Charts for High-Quality Processes, 145–76. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1015-4_7.

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Conference papers on the topic "Cusum"

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Moustakides, George. "Decentralized CUSUM Change Detection." In 2006 9th International Conference on Information Fusion. IEEE, 2006. http://dx.doi.org/10.1109/icif.2006.301578.

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Callegari, Christian, Marco Milanesio, and Pietro Michiardi. "Troubleshooting web sessions with CUSUM." In 2015 International Wireless Communications and Mobile Computing Conference (IWCMC). IEEE, 2015. http://dx.doi.org/10.1109/iwcmc.2015.7289114.

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Warner, Austin, and Georgios Fellouris. "CuSum for sequential change diagnosis." In 2022 IEEE International Symposium on Information Theory (ISIT). IEEE, 2022. http://dx.doi.org/10.1109/isit50566.2022.9834755.

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Ou, Y. J., J. X. Jiao, and Z. Wu. "An advanced CUSUM chart for attributes." In 2009 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2009. http://dx.doi.org/10.1109/ieem.2009.5373321.

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Zhang, Minghe, Liyan Xie, and Yao Xie. "Online Community Detection by Spectral Cusum." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9052921.

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Crowder, Stephen V. "An introduction to the Bernoulli CUSUM." In 2017 Annual Reliability and Maintainability Symposium (RAMS). IEEE, 2017. http://dx.doi.org/10.1109/ram.2017.7889762.

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Adiga, Sudarshan, and Ravi Tandon. "Unsupervised Change Detection using DRE-CUSUM." In 2022 56th Asilomar Conference on Signals, Systems, and Computers. IEEE, 2022. http://dx.doi.org/10.1109/ieeeconf56349.2022.10052079.

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Choi, Jeongae, Muhammad Ozair Mughal, Youngjune Choi, Donghyun Kim, Jose A. Lopez-Salcedo, and Sunwoo Kim. "CUSUM-based Joint Jammer Detection and Localization." In 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2018. http://dx.doi.org/10.1109/dyspan.2018.8610497.

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Volodarsky, E. T., and I. O. Pototskiy. "Theoretical substantiation and application of CUSUM-charts." In 2019 IEEE 8th International Conference on Advanced Optoelectronics and Lasers (CAOL). IEEE, 2019. http://dx.doi.org/10.1109/caol46282.2019.9019546.

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Jusoh, Ahmad Zamani, Roberto Togneri, Bijan Rohani, and Sven Nordholm. "CUSUM application in perceptual speech quality control." In 2009 15th Asia-Pacific Conference on Communications (APCC). IEEE, 2009. http://dx.doi.org/10.1109/apcc.2009.5375507.

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Reports on the topic "Cusum"

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Zhang, Xin Zhu. Spatial CUSUM for Signal Region Detection. Ames (Iowa): Iowa State University, January 2018. http://dx.doi.org/10.31274/cc-20240624-1317.

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Grimley, Hart, and Viana. PR-015-07604-R01 Clamp-On Ultrasonic Flow Meters as Diagnostic Tools. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2008. http://dx.doi.org/10.55274/r0011006.

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Abstract:
Over the past several years, improvements in clamp-on ultrasonic meter technology have caused increased interest in applying this technology within the natural gas industry. Clamp-on ultrasonic meters (CUSMs), which are mounted on the outside of a pipe, send and receive ultrasonic waveforms through the pipe wall. This configuration offers several potential advantages over in-line meters, including portability and the ability to be installed without shutdown and disassembly of the pipeline. CUSMs, like their in-line counterparts, use sophisticated electronics to control the meter operation and to monitor parameters such as transducer signal strength, path velocities, and speed of sound. Because of these features, CUSMs are being considered for their potential as in-situ verification and as diagnostic tools. Having such portable tools to quickly verify meter performance would save considerable time in troubleshooting causes of lost and unaccounted-for (LAUF) gas, thus, minimizing overall LAUF totals. The ability to validate meter performance in-situ would also significantly reduce operating and maintenance costs of metering stations, particularly costs of unnecessary recalibrations. This project specifically addressed the ability of a CUSM to measure distorted profiles with sufficient resolution to determine if the flow is properly conditioned for flow measurement by other meter types. It also addressed the accuracy with which CUSM measurements, performed with sufficient spatial fidelity, can be used to provide a reference flow rate for in-situ meter proving. The test approach was to traverse a single ultrasonic transducer pair around the perimeter of the pipe in sufficiently small increments to measure the flow field at a given pipe cross section independent of the amount of flow distortion present. Velocity profile measurements performed at the same locations were used as an independent check of the CUSMs profile sensitivity.
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