Code for  Decision Theory for Statistical Problems
                (N.T. Longford)  SpringerBrief 2012


CHAPTER 2

Chap1.an1  --  Newton-Raphson algorithm for minimising the expected loss
                         (piecewise quadratic loss function;  Example 1)
Function  Chap1 --  result objects  Chap1R  (Table 2.1, page 23) and Chap1S

Chap1.an2  --   Graphics for the result  Chap1S from Chap1.an1  (Figure 2.2, page 24)
Function  Chap1G  --  using  Chap1S  

Chap1.an3  --  Illustration of the LINEX loss  --  Figure 2.3, page 27 
Function  LNX

Chap2.an0  --  Illustration of quadratic loss functions  --  Figure 2.1, page 20
Function  Ch2qua  --  piecewise quadratic function

Chap2.an1  --  Decision about the sign of the expectation of a normal random sample
                         (piecewise quadratic loss)
Function  Ch2sgn  --  result objects  Ch2sgnR  (single application), 
                                    Ch2sgnS  (application en masse)

Chap2.an2  --  Decision about the sign of the expectation of a normal random sample
                         (piecewise linear loss)
Function  Ch2sgnL  --  result objects  Ch2sgnLR  (single application), 
                                      Ch2sgnLS  (application en masse)

Chap2.an3   --  Graphics for the results in Chap2.an1 and Chap2.an2  
(Figure 2.4, page 31)
Function Ch2Gra 

