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The following data are number of months in service of air conditioning units in airplanes before the units develop a fault. In below, the symbol "+" represents a censored observation, that is, the corresponding unit is still working at the time of data collection: 0, 0, 1+, 1+, 2+, 2, 4, 7, 8+, 21+. Assume that survival times are exponentially distributed S(t) = e¯μt. A) Compute 1 di . B) Computeti. C) Estimate u by maximum likelihood.

The following data are number of months in service of air conditioning units in airplanes before the units develop a fault. In below, the symbol "+" represents a censored observation, that is, the corresponding unit is still working at the time of data collection: 0, 0, 1+, 1+, 2+, 2, 4, 7, 8+, 21+. Assume that survival times are exponentially distributed S(t) = e¯μt. A) Compute 1 di . B) Computeti. C) Estimate u by maximum likelihood.

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter9: Solving Quadratic Functions
Section: Chapter Questions
Problem 4CA
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The following data are number of months in service of air conditioning units in airplanes before the units develop a fault. In below, the symbol "+" represents a censored observation, that is, the corresponding unit is still working at the time of data collection: 0, 0, 1+, 1+, 2+, 2, 4, 7, 8+, 21+. Assume that survival times are exponentially distributed S(t) = e¯µt. A) Compute 1 8¡ . B) Compute Σ_1 t¡ . i=1 C) Estimate u by maximum likelihood.
Transcribed Image Text:The following data are number of months in service of air conditioning units in airplanes before the units develop a fault. In below, the symbol "+" represents a censored observation, that is, the corresponding unit is still working at the time of data collection: 0, 0, 1+, 1+, 2+, 2, 4, 7, 8+, 21+. Assume that survival times are exponentially distributed S(t) = e¯µt. A) Compute 1 8¡ . B) Compute Σ_1 t¡ . i=1 C) Estimate u by maximum likelihood.
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