Fitting nature's basic functions. II. Estimating uncertainties and testing hypotheses
نویسنده
چکیده
E(∈) = 0, E(∈∈ T) = Σ 2. (1) Here, y is an m-vector of measurements, α* is an n-vector of unknown parameters (with n ≤ m), Φ is the m × n least-squares matrix (with linearly independent columns that do not depend on α*), and ∈ is an m-vector of random errors with expected value 0 and m × m positive definite variance matrix Σ 2. When Σ 2 is not known, we usually assume that Σ 2 = σ 2
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ورودعنوان ژورنال:
- Computing in Science and Engineering
دوره 3 شماره
صفحات -
تاریخ انتشار 2001