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The FBISE was established under the FBISE Act 1975. [2] It is an autonomous body of working under the Ministry of Federal Education and Professional Training. [3] The official website of FBISE was launched on June 7, 2001, and was inaugurated by Mrs. Zobaida Jalal, the Minister for Education [4] The first-ever online result of FBISE was announced on 18 August 2001. [5]
Identifiability of the model in the sense of invertibility of the map is equivalent to being able to learn the model's true parameter if the model can be observed indefinitely long. Indeed, if {X t} ⊆ S is the sequence of observations from the model, then by the strong law of large numbers,
Board Established City Website Refs Catholic Board of Education, Pakistan: 1961 Karachi [47] Lahore [48] [49] Diocesan board of education, Pakistan 1960 Islamabad, Rawalpindi [50] [51] Presbyterian Education Board Pakistan Lahore, Punjab
Model-based clustering was first invented in 1950 by Paul Lazarsfeld for clustering multivariate discrete data, in the form of the latent class model. [41] In 1959, Lazarsfeld gave a lecture on latent structure analysis at the University of California-Berkeley, where John H. Wolfe was an M.A. student. This led Wolfe to think about how to do the ...
Federal Board of Intermediate and Secondary Education office in Islamabad. Secondary education in Pakistan begins in year 9 and lasts for four years. After end of each of the school years, students are required to pass a national examination administered by a regional Board of Intermediate and Secondary Education (or BISE).
Its Board of Governors is appointed by the president and confirmed by the Senate with the goals of maximizing employment, stabilizing prices and moderating long-term interest rates.
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The identification conditions require that the system of linear equations be solvable for the unknown parameters.. More specifically, the order condition, a necessary condition for identification, is that for each equation k i + n i ≤ k, which can be phrased as “the number of excluded exogenous variables is greater or equal to the number of included endogenous variables”.