Trend analysis: Binary-valued and point cases

DOI10.1007/BF01581719zbMath0842.76070MaRDI QIDQ1911123

David R. Brillinger

Publication date: 4 August 1996

Published in: Stochastic Hydrology and Hydraulics (Search for Journal in Brave)

zbMATH Keywords

time seriesmonotone trendfloodsstochastic point processAbelson-Tukey coefficients

Mathematics Subject Classification ID

Hydrology, hydrography, oceanography (86A05) Stochastic analysis applied to problems in fluid mechanics (76M35)

Related Items

Bridging the Gap: A Generalized Stochastic Process for Count Data, Models for count data, Variable length Markov chains, A point process driven multiple change point model: a robust resistant approach

Cites Work

• Consistent detection of a monotonic trend superposed on a stationary time series
• Analyzing point processes subjected to random deletions
• Most Stringent Somewhere Most Powerful Tests Against Alternatives Restricted by a Number of Linear Inequalities
• Efficient Utilization of Non-Numerical Information in Quantitative Analysis General Theory and the Case of Simple Order
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