<p><br/><font color="#0000ff">&nbsp;Publisher:&nbsp;&nbsp;&nbsp;springer, USA</font><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);"># @1 o# s! j! o* z7 ]</font><br/><font color="#0000ff">Publication Date:&nbsp;&nbsp;&nbsp;2000</font><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);">, B3 r* D! {&amp; v: p&amp; P1 k8 N. W8 a</font><br/><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);">, M3 S5 F1 Z$ K. ?</font><br/><font color="#0000ff">ISBN / ASIN:&nbsp; &nbsp;0387988718</font><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);"> z+ i$ `$ @# c7 ?&nbsp;&nbsp;B&nbsp;&nbsp;g8 o</font><br/><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);">y. ]. C</font><br/><font style="FONT-SIZE: 0px; COLOR: rgb(255,255,255);">&nbsp;u, I8 o! T</font><br/><font color="#0000ff">By R.B.bapat</font></p><p><font color="#0000ff">pages:147</font></p><p>The main purpose of the present monograph is to provide a rigorous introduction<br/>to the basic aspects of the theory of linear estimation and hypothesis testing. The<br/>necessary prerequisites in matrices, multivariate normal distribution, and distribution<br/>of quadratic forms are developed along the way. The monograph is primarily<br/>aimed at advanced undergraduate and first-year master’s students taking courses<br/>in linear algebra, linear models, multivariate analysis, and design of experiments.<br/>It should also be of use to research workers as a source of several standard results<br/>and problems.</p><p></p>