LEADER 05664nam 2200709Ia 450 001 9911019467003321 005 20230213211621.0 010 $a9786612307348 010 $a9781282307346 010 $a1282307347 010 $a9780470316436 010 $a0470316438 010 $a9780470317143 010 $a0470317140 035 $a(CKB)1000000000687535 035 $a(StDuBDS)AH3916597 035 $a(SSID)ssj0000339859 035 $a(PQKBManifestationID)11233109 035 $a(PQKBTitleCode)TC0000339859 035 $a(PQKBWorkID)10365466 035 $a(PQKB)10663742 035 $a(SSID)ssj0000663246 035 $a(PQKBManifestationID)11409193 035 $a(PQKBTitleCode)TC0000663246 035 $a(PQKBWorkID)10597420 035 $a(PQKB)11459008 035 $a(MiAaPQ)EBC469827 035 $a(Perlego)2763207 035 $a(EXLCZ)991000000000687535 100 $a20721205d1973 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLinear statistical inference and its applications /$fC. Radhakrishna Rao 205 $a2nd ed. 210 $aNew York $cWiley$d1973 215 $a1 online resource (xx, 625 p.) 225 1 $aWiley series in probability and mathematical statistics 225 0$aWiley series in probability and statistics 300 $a"A Wiley-Interscience publication." 311 08$a9780471708230 311 08$a0471708232 320 $aIncludes bibliographies. 327 $aAlgebra of Vectors and Matrices. Probability Theory, Tools and Techniques. Continuous Probability Models. The Theory of Least Squares and Analysis of Variance. Criteria and Methods of Estimation. Large Sample Theory and Methods. Theory of Statistical Inference. Multivariate Analysis. Publications of the Author. Author Index. Subject Index. 330 $aThis paperback reprint of the classic work on statistical inference remains highly applicable to statistical analysis. The purpose of this book is to present the theory and techniques of statistical inference in a logically integrated and practical form. 330 $b"C. R. Rao would be found in almost any statistician's list of five outstanding workers in the world of Mathematical Statistics today. His book represents a comprehensive account of the main body of results that comprise modern statistical theory." -W. G. Cochran "[C. R. Rao is] one of the pioneers who laid the foundations of statistics which grew from ad hoc origins into a firmly grounded mathematical science." -B. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost works in statistical inference in the literature. Incorporating the important developments in the subject that have taken place in the last three decades, this paperback reprint of his classic work on statistical inference remains highly applicable to statistical analysis. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: The algebra of vectors and matrices Probability theory, tools, and techniques Continuous probability models The theory of least squares and the analysis of variance Criteria and methods of estimation Large sample theory and methods The theory of statistical inference Multivariate normal distribution Written for the student and professional with a basic knowledge of statistics, this practical paperback edition gives this industry standard new life as a key resource for practicing statisticians and statisticians-in-training. "C. R. Rao would be found in almost any statistician s list of five outstanding workers in the world of Mathematical Statistics today. His book represents a comprehensive account of the main body of results that comprise modern statistical theory." W. G. Cochran "[C. R. Rao is] one of the pioneers who laid the foundations of statistics which grew from ad hoc origins into a firmly grounded mathematical science." B. Efrom Translated into six major languages of the world, C. R. Rao s Linear Statistical Inference and Its Applications is one of the foremost works in statistical inference in the literature. Incorporating the important developments in the subject that have taken place in the last three decades, this paperback reprint of his classic work on statistical inference remains highly applicable to statistical analysis. Presenting the theory and techniques of statistical inference in a logically integrated and practical form, it covers: The algebra of vectors and matrices Probability theory, tools, and techniques Continuous probability models The theory of least squares and the analysis of variance Criteria and methods of estimation Large sample theory and methods The theory of statistical inference Multivariate normal distribution Written for the student and professional with a basic knowledge of statistics, this practical paperback edition gives this industry standard new life as a key resource for practicing statisticians and statisticians-in-training. 410 0$aWiley series in probability and mathematical statistics. 606 $aMathematical statistics 606 $aLinear models (Statistics) 615 0$aMathematical statistics. 615 0$aLinear models (Statistics) 676 $a519.535 700 $aRao$b C. Radhakrishna$g(Calyampudi Radhakrishna),$f1920-$0102152 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019467003321 996 $aLinear statistical inference and its applications$944585 997 $aUNINA