LEADER 03041nam 2200661Ia 450 001 996203938103316 005 20230607222201.0 010 $a1-281-81453-9 010 $a9786611814533 010 $a0-470-79255-8 010 $a0-470-37690-2 010 $a0-470-37667-8 035 $a(CKB)1000000000554856 035 $a(EBL)362148 035 $a(OCoLC)437224726 035 $a(SSID)ssj0000213530 035 $a(PQKBManifestationID)11175065 035 $a(PQKBTitleCode)TC0000213530 035 $a(PQKBWorkID)10151509 035 $a(PQKB)10226572 035 $a(MiAaPQ)EBC362148 035 $a(Au-PeEL)EBL362148 035 $a(CaPaEBR)ebr10287800 035 $a(CaONFJC)MIL181453 035 $a(EXLCZ)991000000000554856 100 $a20011009d2002 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aOcular tumors in animals and humans$b[electronic resource] /$fedited by Robert L. Peiffer, Jr. and Kenneth B. Simons 205 $a1st ed. 210 $aAmes $cIowa State Press$d2002 215 $a1 online resource (484 p.) 300 $aDescription based upon print version of record. 311 $a0-8138-2388-9 320 $aIncludes bibliographical references and index. 327 $aOCULAR TUMORS IN ANIMALS AND HUMANS; CONTENTS; Contributors; Foreword; Preface; Acknowledgments; 1. Orbital Tumors; 2. Eyelid Tumors; 3. Tumors of the Conjunctiva; 4. Neoplasms of the Lacrimal Drainage System; 5. Tumors of the Cornea and Sclera; 6. Iridociliary Epithelial Tumors; 7. Uveal Melanocytic Tumors; 8. Feline Ocular Sarcomas..; 9. Optic Nerve Neoplasia; 10. Retinoblastoma in Humans and Animals; 11. Metastases; 12. Ocular Lymphoid Proliferations; 13. The Phakomatoses; 14. Experimental Ocular Oncology: Animal Models; Index 330 $aThe application of evidence-based veterinary medicine (EBVM) can assist in improving and optimising the diagnosis, prognosis, control, treatment and ultimately the welfare of animals. It can also provide the user with a methodology for appropriate, patient orientated life-long, self-directed, learning. To practise evidence-based veterinary medicine we require a range of skills that we may not have. This book will explain what evidence-based veterinary medicine is and show how it can be applied to veterinary practice to improve the quality of care for patients and provide informed choices 606 $aEye$xTumors$xPathophysiology 606 $aVeterinary ophthalmology 606 $aTumors in animals 615 0$aEye$xTumors$xPathophysiology. 615 0$aVeterinary ophthalmology. 615 0$aTumors in animals. 676 $a616.99 676 $a616.99/284 676 $a616.99284 701 $aPeiffer$b Robert L$0974797 701 $aSimons$b Kenneth B$0974798 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996203938103316 996 $aOcular tumors in animals and humans$92219662 997 $aUNISA LEADER 02901nam 2200745 a 450 001 9910809234003321 005 20240313144134.0 010 $a9781118601877 010 $a1118601874 010 $a9781118601839 010 $a1118601831 010 $a9781118601761 010 $a1118601769 010 $a9781299187702 010 $a1299187706 035 $a(CKB)2550000001005903 035 $a(EBL)1124664 035 $a(OCoLC)828298933 035 $a(SSID)ssj0000831897 035 $a(PQKBManifestationID)11521858 035 $a(PQKBTitleCode)TC0000831897 035 $a(PQKBWorkID)10880803 035 $a(PQKB)11163161 035 $a(OCoLC)828423699 035 $a(MiAaPQ)EBC1124664 035 $a(Au-PeEL)EBL1124664 035 $a(CaPaEBR)ebr10660588 035 $a(CaONFJC)MIL450020 035 $a(OCoLC)720898910 035 $a(FINmELB)ELB178737 035 $a(Perlego)1012719 035 $a(EXLCZ)992550000001005903 100 $a20110503d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aDigital spectral analysis $eparametric, non-parametric and advanced methods /$fedited by Francis Castanie? 205 $a1st ed. 210 $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2011 215 $a1 online resource (401 p.) 225 0 $aDigital signal and image processing series 300 $aDescription based upon print version of record. 311 08$a9781848212770 311 08$a1848212771 320 $aIncludes bibliographical references and index. 327 $apt. 1. Tools and spectral analysis -- pt. 2. Non-parametric methods -- pt. 3. Parametric methods -- pt. 4. Advanced concepts. 330 $aDigital Spectral Analysis provides a single source that offers complete coverage of the spectral analysis domain. This self-contained work includes details on advanced topics that are usually presented in scattered sources throughout the literature.The theoretical principles necessary for the understanding of spectral analysis are discussed in the first four chapters: fundamentals, digital signal processing, estimation in spectral analysis, and time-series models.An entire chapter is devoted to the non-parametric methods most widely used in industry.High resolution methods a 410 0$aISTE 606 $aSpectral theory (Mathematics) 606 $aSignal processing$xDigital techniques$xMathematics 606 $aSpectrum analysis 615 0$aSpectral theory (Mathematics) 615 0$aSignal processing$xDigital techniques$xMathematics. 615 0$aSpectrum analysis. 676 $a621.382/2 701 $aCastanie?$b Francis$0865318 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910809234003321 996 $aDigital spectral analysis$93942533 997 $aUNINA