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Reduction of saetas

 W.González-Manteiga and C. Sánchez-Sellero

   Department of Statistics and Operations Research
        University of Santiago de Compostela
Estimation of a saeta as a linear model
 The available data , denoted by Y, can be expressed as a function of
 known quantities, in the matrix X, unknow parameters, which
 determine the saeta, and some errors. It can be written in matrix form
 as a linear model:


                            Y = Xβ + ε
                                                                  ⎡ X0 ⎤
      ⎡    M     ⎤ ⎡M M              M          M        M M⎤ ⎢         ⎥ ⎡ M ⎤
      ⎢ X m ⎥ ⎢1 z                   0          0        0 0⎥ ⎥ ⎢ X ′ ⎥ ⎢ε m ⎥
      ⎢     i    ⎥ ⎢     i
                                                                  ⎢ Y0 ⎥ ⎢ im ⎥
      ⎢ Ti m     ⎥ = ⎢0 0          1 vs       zi vs      1 zi ⎥ ⋅ ⎢     ⎥ + ⎢δ i ⎥
      ⎢ 'm       ⎥ ⎢                                          ⎥ ⎢ Y ′ ⎥ ⎢ 'm ⎥
      ⎢Ti − L vs ⎥ ⎢0 0           − 1 vs    − zi vs      1 zi ⎥              δ
                                                                  ⎢ T0 ⎥ ⎢ i ⎥
      ⎢
      ⎣    M     ⎥ ⎢M M
                 ⎦ ⎣                 M         M         M M⎥ ⎢
                                                              ⎦         ⎥ ⎢ M ⎥
                                                                            ⎣ ⎦
                                                                  ⎢1 Vz ⎥
                                                                  ⎣     ⎦

  ε     is assumed to be normal with mean zero and covariance matrix

                                                             (   ( ) ( ) ( )          )
                                                    Σ = diag K , σ i1 , σ i2 , σ i3 , K
                                                                       2    2     2
Estimator and its properties
The estimator can be obtained by



                      (
                  β = X ′Σ −1 X
                  ˆ                )
                                   −1
                                        X ′Σ −1Y

which satisfies

                      ()
                   E β =β
                     ˆ


                          () (
                   Var β = X ′Σ −1 X
                       ˆ                    )−1
y                           y’



                                               s’
              s

                   s0                                                 z
       x
                                    x’



1. Once a saeta is estimated under the reference (XYZ),
which is the corresponding saeta under the reference (X’Y’Z’)?


2. Once the saeta is estimated,
which is the new saeta under the restriction that it should go through the origin
   (X=0, Y=0, Z=0)?
1. Once a saeta is estimated under the reference (XYZ),
which is the corresponding saeta under the reference (X’Y’Z’)?




         Proposal: Obtain confidence regions for saeta’s
2. Once the saeta is estimated,
which is the new saeta under the restriction that it should go through the origin
                                    (X=0, Y=0, Z=0)?

   A linear model can be estimated under a linear restriction

                               H 0 : Aβ = c            (assumption that it goes through the origin)



                                          [(                            ] (Aβˆ − c)
   by
                         (          )                         )
                                    −1                        −1        −1
             β 0 = β − X ′Σ −1 X
             ˆ                           A′ A X ′Σ X   −1
                                                                   A′

   In that case,

                    (      ) (
                           ˆ ′ Σ −1 Y − Xβ
               S 0 = Y − Xβ 0             ˆ
                                            0  )
                         ( )[ (
                          ˆ − c ′ A X ′Σ −1 X
               S 0 − S = Aβ                        )
                                                   −1
                                                        A′   ] (Aβˆ − c)
                                                             −1




    and   H 0 : Aβ = c       can be tested by the F-test:

                                 (S 0 − S ) q ∈ F
                                 S (3n − 6)
                                                 q ,3n −6
y                Detector 1 Detector 2




                                                        s1’
                                     s2’
                   s

                        s0                                                 z
            x                                  φ
                         x2
                                                   x1




3. Once two saeta’s, S’_1 and S’_2 are estimated under two references and data sets,
which is the best saeta S that is based on the information coming from the two data sets?
3. Once two saeta’s, S’_1 and S’_2 are estimated under two references and data sets,
which is the best saeta S that is based on the information coming from the two data sets?




                     Proposal: Test the equality of two saeta’s
y                             y’



                                              s’
         s

               s0                                                   z
  x                                  φ
                                         x’




1' (Slight modification of question 1, where the reference is rotated).

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C Sanchez Reduction Saetas

  • 1. Reduction of saetas W.González-Manteiga and C. Sánchez-Sellero Department of Statistics and Operations Research University of Santiago de Compostela
  • 2. Estimation of a saeta as a linear model The available data , denoted by Y, can be expressed as a function of known quantities, in the matrix X, unknow parameters, which determine the saeta, and some errors. It can be written in matrix form as a linear model: Y = Xβ + ε ⎡ X0 ⎤ ⎡ M ⎤ ⎡M M M M M M⎤ ⎢ ⎥ ⎡ M ⎤ ⎢ X m ⎥ ⎢1 z 0 0 0 0⎥ ⎥ ⎢ X ′ ⎥ ⎢ε m ⎥ ⎢ i ⎥ ⎢ i ⎢ Y0 ⎥ ⎢ im ⎥ ⎢ Ti m ⎥ = ⎢0 0 1 vs zi vs 1 zi ⎥ ⋅ ⎢ ⎥ + ⎢δ i ⎥ ⎢ 'm ⎥ ⎢ ⎥ ⎢ Y ′ ⎥ ⎢ 'm ⎥ ⎢Ti − L vs ⎥ ⎢0 0 − 1 vs − zi vs 1 zi ⎥ δ ⎢ T0 ⎥ ⎢ i ⎥ ⎢ ⎣ M ⎥ ⎢M M ⎦ ⎣ M M M M⎥ ⎢ ⎦ ⎥ ⎢ M ⎥ ⎣ ⎦ ⎢1 Vz ⎥ ⎣ ⎦ ε is assumed to be normal with mean zero and covariance matrix ( ( ) ( ) ( ) ) Σ = diag K , σ i1 , σ i2 , σ i3 , K 2 2 2
  • 3. Estimator and its properties The estimator can be obtained by ( β = X ′Σ −1 X ˆ ) −1 X ′Σ −1Y which satisfies () E β =β ˆ () ( Var β = X ′Σ −1 X ˆ )−1
  • 4. y y’ s’ s s0 z x x’ 1. Once a saeta is estimated under the reference (XYZ), which is the corresponding saeta under the reference (X’Y’Z’)? 2. Once the saeta is estimated, which is the new saeta under the restriction that it should go through the origin (X=0, Y=0, Z=0)?
  • 5. 1. Once a saeta is estimated under the reference (XYZ), which is the corresponding saeta under the reference (X’Y’Z’)? Proposal: Obtain confidence regions for saeta’s
  • 6. 2. Once the saeta is estimated, which is the new saeta under the restriction that it should go through the origin (X=0, Y=0, Z=0)? A linear model can be estimated under a linear restriction H 0 : Aβ = c (assumption that it goes through the origin) [( ] (Aβˆ − c) by ( ) ) −1 −1 −1 β 0 = β − X ′Σ −1 X ˆ A′ A X ′Σ X −1 A′ In that case, ( ) ( ˆ ′ Σ −1 Y − Xβ S 0 = Y − Xβ 0 ˆ 0 ) ( )[ ( ˆ − c ′ A X ′Σ −1 X S 0 − S = Aβ ) −1 A′ ] (Aβˆ − c) −1 and H 0 : Aβ = c can be tested by the F-test: (S 0 − S ) q ∈ F S (3n − 6) q ,3n −6
  • 7. y Detector 1 Detector 2 s1’ s2’ s s0 z x φ x2 x1 3. Once two saeta’s, S’_1 and S’_2 are estimated under two references and data sets, which is the best saeta S that is based on the information coming from the two data sets?
  • 8. 3. Once two saeta’s, S’_1 and S’_2 are estimated under two references and data sets, which is the best saeta S that is based on the information coming from the two data sets? Proposal: Test the equality of two saeta’s
  • 9. y y’ s’ s s0 z x φ x’ 1' (Slight modification of question 1, where the reference is rotated).