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008 180816s2018 si | s |||| 0|eng d
020 _a9789811312236
_9978-981-13-1223-6
024 7 _a10.1007/978-981-13-1223-6
_2doi
040 _cCUS
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aMAT029000
_2bisacsh
072 7 _aPBT
_2thema
082 0 4 _a519.5
_223
245 1 0 _aStatistics and its Applications
_h[electronic resource] :
_bPlatinum Jubilee Conference, Kolkata, India, December 2016 /
_cedited by Asis Kumar Chattopadhyay, Gaurangadeb Chattopadhyay.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Singapore :
_bImprint: Springer,
_c2018.
300 _aVI, 180 p. 20 illus., 11 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v244
505 0 _aChapter 1. Abisa Sinha, Fragmentation of Young Massive Clusters: A Hybrid Monte–Carlo Simulation Study -- Chapter 2. Anamika Dutta and Kishore K. Das, A Study on DNA Sequence of Rice using Scoring Matrix Method and ANOVA Technique -- Chapter 3. Sungsu Kim and Ashis SenGupta, Regressions Involving Circular Variables: An Overview -- Chapter 4. Ramesh M. Mirajkar and Bhausaheb G. Kore, On Construction of Prediction Interval for Weibull Distribution -- Chapter 5. Thorsten Dickhaus, Combining high-Dimensional Classification and Multiple Hypotheses Testing for the Analysis of Big Data in Genetics -- Chapter 6. Tapan Kumar Chakrabarty and Dreamlee Sharma, The Quantile-based Skew Logistic Distribution with Applications -- Chapter 7. Jiming Jiang, A Note on Monte–Carlo Jackknife: McJack and Big Data -- Chapter 8. Jogesh Babu, Introduction to the Detection and Statistical Challenges of Exoplanets -- Chapter 9. Thuan Nguyen and Jiming Jiang, A Connection between the Observed Best Prediction and the Fence Model Selection Method -- Chapter 10. Siegfried Gabler, Matthias Ganninger and Partha Lahiri, A New Approximation to the True Randomization-Based Design Effect -- Chapter 11. Madhura Mandal and Premadhis Das, Confounded Factorial Design with Partial Balance and Orthogonal Sub- Factorial Structure -- Chapter 12. Christian P. Robert, Beyond the Bayes Factor, a New Bayesian Paradigm for Handling Hypothesis Testing -- Chapter 13. Tommy Wright, No Calculation when Observation Can be Made -- Chapter 14. Sumanta Adhya, Debanjan Bhattacharjee and Tathagata Banerjee, Design Weighted Quadratic Inference Function Estimators for Superpopulation Parameters -- Chapter 15. Jyotirmoy Sarkar and Bikas K. Sinha, Detecting a Fake Coin of a Known Type.
520 _aThis book discusses recent developments and the latest research in statistics and its applications, primarily in agriculture and industry, survey sampling and biostatistics, gathering articles on a wide variety of topics. Written by leading academics, scientists, researchers and scholars from around the globe to mark the platinum jubilee of the Department of Statistics, University of Calcutta in 2016, the book is a valuable resource for statisticians, aspiring researchers and professionals across educational levels and disciplines.
650 0 _aStatistics .
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 1 4 _aStatistical Theory and Methods.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S11001
650 2 4 _aApplied Statistics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/S17000
650 2 4 _aApplications of Mathematics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M13003
700 1 _aChattopadhyay, Asis Kumar.
700 1 _aChattopadhyay, Gaurangadeb.
830 0 _aSpringer Proceedings in Mathematics & Statistics,
_x2194-1009 ;
_v244
856 4 0 _uhttps://doi.org/10.1007/978-981-13-1223-6
912 _aZDB-2-SMA
912 _aZDB-2-SXMS
942 _cEBK
999 _c206041
_d206041