LEADER 00815nam0-22002891i-450- 001 990000992170403321 035 $a000099217 035 $aFED01000099217 035 $a(Aleph)000099217FED01 035 $a000099217 100 $a20000920d1969----km-y0itay50------ba 101 0 $aeng 200 1 $aTable of Modified Bessel Functions$fHenry E. Fettis, James C. Caslin 210 $aOhio$cAerospace Research Laboratory$d1969 300 $aARL Report 69-0032. 610 0 $aFunzioni speciali 676 $a518 700 1$aFettis,$bHenry E.$046763 702 1$aCaslin,$bJames C. 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990000992170403321 952 $a17-054.006$b7040$fFI1 959 $aFI1 996 $aTable of Modified Bessel Functions$9354013 997 $aUNINA DB $aING01 LEADER 03543nam 2200901z- 450 001 9910557527203321 005 20210501 035 $a(CKB)5400000000044306 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68611 035 $a(oapen)doab68611 035 $a(EXLCZ)995400000000044306 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aCorporate Bankruptcy Prediction$eInternational Trends and Local Experience 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (202 p.) 311 08$a3-03928-911-X 311 08$a3-03928-912-8 330 $aBankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy. 517 $aCorporate Bankruptcy Prediction 606 $aEconomics, Finance, Business and Management$2bicssc 610 $aartificial neural networks 610 $aaudit expectation gap 610 $abagging 610 $abankruptcy 610 $abankruptcy model 610 $abankruptcy prediction 610 $abankruptcy risk 610 $aboosting 610 $achapter 11 610 $acitation mining 610 $aclassification 610 $acompany performance 610 $acorporate bankruptcy 610 $acorporate failure 610 $acredit risk modelling 610 $aCzech Republic 610 $adecision trees 610 $adefault 610 $aensemble classifiers 610 $aEuropean large companies 610 $afailure 610 $afinancial distress 610 $afinancial ratios 610 $aforecasting 610 $aforecasting methods 610 $afuzzy sets 610 $ainsolvency 610 $aISA 701 610 $akey audit matters 610 $aliterature review 610 $amanufacturing insolvency 610 $amateriality 610 $ameta-analysis 610 $amodels predicting financial distress 610 $aneural networks 610 $apayment defaults 610 $aphases of economic cycle 610 $aPoland 610 $aprediction 610 $aPrincipal Component Analysis 610 $arating systems 610 $aregression count 610 $ascoring models 610 $astacking 610 $asupport vector machine 610 $atax arrears 615 7$aEconomics, Finance, Business and Management 700 $aPrusak$b B?a?ej$4edt$01304701 702 $aPrusak$b B?a?ej$4oth 906 $aBOOK 912 $a9910557527203321 996 $aCorporate Bankruptcy Prediction$93027630 997 $aUNINA