Abstract:
Let (xi, yi), i = 1, …, n, be a sequence of observations such that yi= bi+ cxi+ ui, where biand c are unknown parameters, and {ui) and {xi) are independent sequences of independent, identically distributed random variables. The likelihood ratio test is derived for the hypothesis that bi= b (i = 1, …, n), against the alternative that bi= b (i ≤ i0) and bi= b + d (i > i0) for some b, i0, and d ≠ 0, assuming the ui’s are normal. Quantiles of the test statistic are computed by simulation, and the consistency of the test is proved. Some asymptotic properties of the test statistic are shown. © 1978, Taylor & Francis Group, LLC.
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Citas:
---------- APA ----------
Maronna, R. & Yohai, V.J.
(1978)
. A bivariate test for the detection of a systematic change in mean. Journal of the American Statistical Association, 73(363), 640-645.
http://dx.doi.org/10.1080/01621459.1978.10480070---------- CHICAGO ----------
Maronna, R., Yohai, V.J.
"A bivariate test for the detection of a systematic change in mean"
. Journal of the American Statistical Association 73, no. 363
(1978) : 640-645.
http://dx.doi.org/10.1080/01621459.1978.10480070---------- MLA ----------
Maronna, R., Yohai, V.J.
"A bivariate test for the detection of a systematic change in mean"
. Journal of the American Statistical Association, vol. 73, no. 363, 1978, pp. 640-645.
http://dx.doi.org/10.1080/01621459.1978.10480070---------- VANCOUVER ----------
Maronna, R., Yohai, V.J. A bivariate test for the detection of a systematic change in mean. J. Am. Stat. Assoc. 1978;73(363):640-645.
http://dx.doi.org/10.1080/01621459.1978.10480070