LEADER 04191nam 22006495 450 001 9910300156703321 005 20220627145042.0 010 $a3-642-36850-6 024 7 $a10.1007/978-3-642-36850-9 035 $a(CKB)3710000000078625 035 $a(Springer)9783642368509 035 $a(MH)013879545-2 035 $a(SSID)ssj0001067208 035 $a(PQKBManifestationID)11675213 035 $a(PQKBTitleCode)TC0001067208 035 $a(PQKBWorkID)11080861 035 $a(PQKB)10620812 035 $a(DE-He213)978-3-642-36850-9 035 $a(MiAaPQ)EBC3107082 035 $a(PPN)176111425 035 $a(EXLCZ)993710000000078625 100 $a20131106d2014 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBasics of Modern Mathematical Statistics $eExercises and Solutions /$fby Wolfgang Karl Härdle, Vladimir Spokoiny, Vladimir Panov, Weining Wang 205 $a1st ed. 2014. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2014. 215 $a1 online resource (XXV, 185 p. 123 illus., 81 illus. in color.)$conline resource 225 1 $aSpringer Texts in Statistics,$x1431-875X 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-36849-2 327 $aBasics -- Parameter Estimation for an i.i.d. Model -- Parameter Estimation for a Regression Model -- Estimation in Linear Models -- Bayes Estimation -- Testing a Statistical Hypothesis -- Testing in Linear Models -- Some Other Testing Methods.  . 330 $aThe complexity of today?s statistical data calls for modern mathematical tools. Many fields of science make use of mathematical statistics and require continuous updating on statistical technologies. Practice makes perfect, since mastering the tools makes them applicable. Our book of exercises and solutions offers a wide range of applications and numerical solutions based on R. In modern mathematical statistics, the purpose is to provide statistics students with a number of basic exercises and also an understanding of how the theory can be applied to real-world problems. The application aspect is also quite important, as most previous exercise books are mostly on theoretical derivations. Also we add some problems from topics often encountered in recent research papers. The book was written for statistics students with one or two years of coursework in mathematical statistics and probability, professors who hold courses in mathematical statistics, and researchers in other fields who would like to do some exercises on math statistics. 410 0$aSpringer Texts in Statistics,$x1431-875X 606 $aStatistics 606 $aR (Computer program language) 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aStatistics, general$3https://scigraph.springernature.com/ontologies/product-market-codes/S0000X 606 $aStatistics for Business, Management, Economics, Finance, Insurance$3https://scigraph.springernature.com/ontologies/product-market-codes/S17010 615 0$aStatistics. 615 0$aR (Computer program language). 615 14$aStatistical Theory and Methods. 615 24$aStatistics, general. 615 24$aStatistics for Business, Management, Economics, Finance, Insurance. 676 $a519.5 700 $aHärdle$b Wolfgang Karl$4aut$4http://id.loc.gov/vocabulary/relators/aut$0732741 702 $aSpokoiny$b Vladimir$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aPanov$b Vladimir$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aWang$b Weining$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300156703321 996 $aBasics of Modern Mathematical Statistics$92547188 997 $aUNINA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress