001453079 000__ 03902cam\a2200577\i\4500
001453079 001__ 1453079
001453079 003__ OCoLC
001453079 005__ 20230314003332.0
001453079 006__ m\\\\\o\\d\\\\\\\\
001453079 007__ cr\un\nnnunnun
001453079 008__ 221015t20232023si\a\\\\ob\\\\000\0\eng\d
001453079 019__ $$a1348482636$$a1348482652
001453079 020__ $$a9789811944116$$qelectronic book
001453079 020__ $$a9811944113$$qelectronic book
001453079 020__ $$z9789811944109$$qhardcover
001453079 020__ $$z9811944105$$qhardcover
001453079 0247_ $$a10.1007/978-981-19-4411-6$$2doi
001453079 035__ $$aSP(OCoLC)1347429896
001453079 040__ $$aYDX$$beng$$epn$$erda$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dWAU
001453079 049__ $$aISEA
001453079 050_4 $$aSH328
001453079 08204 $$a639.2072/7$$223/eng/20221024
001453079 24500 $$aConcept building in fisheries data analysis /$$cBasant Kumar Das, Dharm Nath Jha, Sanjeev Kumar Sahu, Anil Kumar Yadav, Rohan Kumar Raman, M. Kartikeyan.
001453079 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001453079 264_4 $$c©2023
001453079 300__ $$a1 online resource (xxviii, 257 pages) :$$billustrations
001453079 336__ $$atext$$btxt$$2rdacontent
001453079 336__ $$astill image$$bsti$$2rdacontent
001453079 337__ $$acomputer$$bc$$2rdamedia
001453079 338__ $$aonline resource$$bcr$$2rdacarrier
001453079 504__ $$aIncldues bibliographical references.
001453079 5050_ $$a1. Nature and sources of data for inland fisheries management --  2. Concept of sampling methodologies and their applications -- 3. Descriptive statistics for inland fisheries data -- 4. Basic concept of hypothesis testing and parametric test -- 5. ChiSquare test of significance -- 6. Use of non-parametric test in fisheries data -- 7. Analysis of variance (ANOVA) and design of experiments -- 8. Concept of simple correlation and regression -- 9. Analysis and interpretation of weight-length data of fish -- 10. Some multivariate analysis techniques for fisheries data -- 11. Introduction to electronic spreadsheet and Microsoft Excel -- 12. Introduction to R software -- 13. Introduction to graphics in R.
001453079 506__ $$aAccess limited to authorized users.
001453079 520__ $$aThis authored book is primarily for the readers who are in search of how to use basic concepts of statistics in the field of fishery science. It has been written for the new comers coming in the fishery sector including university students, teachers and research scholars. It enriches the readers knowledge of data analysis step by step starting from data collection to its analysis and interpretation along with practical application with real example. It supports readers for enhancing theoretical and practical concept of application of fundamental statistics in fishery domain. Reader may also learn how to analyses data using different statistical software. Each chapter starts with an introduction of the topic followed by statistical concept with example and ends with chapter based question for comprehension purpose. This book is of interest to teachers, researchers, scientists, capacity builders in fishery sciences. Also the book serves as additional reading material for undergraduate and graduate students of fisheries and aquatic sciences.--$$cProvided by publisher.
001453079 588__ $$aDescription based on print version record.
001453079 650_0 $$aFishery management$$xStatistical methods.
001453079 650_0 $$aFisheries$$xStatistical methods.
001453079 655_0 $$aElectronic books.
001453079 7001_ $$aDas, Basant Kumar,$$eauthor.
001453079 7001_ $$aJha, Dharm Nath,$$eauthor.
001453079 7001_ $$aSahu, Sanjeev Kumar,$$eauthor.
001453079 7001_ $$aYadav, Anil Kumar,$$eauthor.
001453079 7001_ $$aRaman, Rohan Kumar,$$eauthor.
001453079 7001_ $$aKartikeyan, M.$$eauthor.
001453079 77608 $$iPrint version:$$tCONCEPT BUILDING IN FISHERIES DATA ANALYSIS.$$dSPRINGER, 2023$$z9811944105$$w(OCoLC)1322810759
001453079 852__ $$bebk
001453079 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-4411-6$$zOnline Access$$91397441.1
001453079 909CO $$ooai:library.usi.edu:1453079$$pGLOBAL_SET
001453079 980__ $$aBIB
001453079 980__ $$aEBOOK
001453079 982__ $$aEbook
001453079 983__ $$aOnline
001453079 994__ $$a92$$bISE