國立高雄大學圖資館 |

Language: English

Back

Applied statistical methodsISGES 2020, Pune, India, January 2-4 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied statistical methodsedited by David D. Hanagal, Raosaheb V. Latpate, Girish Chandra.
Reminder of title:	ISGES 2020, Pune, India, January 2-4 /
remainder title:	ISGES 2020
other author:	Hanagal, David D.
corporate name:
Published:	Singapore :Springer Nature Singapore :2022.
Description:	xviii, 307 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Mathematical statistics
Online resource:	https://doi.org/10.1007/978-981-16-7932-2
ISBN:	9789811679322$q(electronic bk.)

Applied statistical methodsISGES 2020, Pune, India, January 2-4 /
Applied statistical methodsISGES 2020, Pune, India, January 2-4 /[electronic resource] :ISGES 2020edited by David D. Hanagal, Raosaheb V. Latpate, Girish Chandra. - Singapore :Springer Nature Singapore :2022. - xviii, 307 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v. 3802194-1017 ;. - Springer proceedings in mathematics & statistics ;v.19..

X. Chen and B. Nandram, Bayesian Order-Restricted Inference of Multinomial Counts from Small Areas -- L. Chen and B. Nandram, A Hierarchical Bayesian Beta-Binomial Model for Sub-Areas -- P. Anjoy and H. Chandra, Hierarchical Bayes Prediction of Survey-Weighted Small Area Proportions -- E. Zamanzade1 and M. Mahdizadeh, Efficiency of Ranked Set Sampling Design in Goodness of Fit Tests for Cauchy Distribution -- M. R. Bhosale1, R. Latpate and S. Gitte, Fuzzy Supply Chain Newsboy Problem Under Lognormal Distributed Demand for Bakery Products -- S. Kurade, R. Latpate and D. Hanagal, Probabilistic Supply Chain Models with Partial Backlogging for Deteriorating Items -- P. Ranjan and M. Harshvardhan, The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction -- K. Uniyal1, G. Chandra, R. U. Khan and Y. P. Singh, Grey Relational Analysis for the Selection of Potential Isolates of Alternaria Alternata of Poplar -- Nidhi D. Raykundaliya and Dharmesh P. Raykundaliya -- Decision making for Multi-items Inventory Models -- A. Pandey, David D. Hanagal, S. Tyagi and P. Gupta, Modeling Australian Twin Data using Generalized Lindley Shared Frailty Models, K. Jain and H. S. Kapoor, Ultimate Ruin Probability for Benktander Gibrat Risk Model, K. K. Mahajan, S. Arora and A. Gaur, Test of Homogeneity of Scale Parameters Based on Function of Sample Quasi Ranges -- T. Dai and Sanjay Shete, A Bayesian Response-Adaptive, Covariate-Balanced and Q-learning-Decision-consistent Randomization Method for SMART Designs -- J. Sedransk, An introduction to Bayesian Inference for Finite Population Characteristics -- S. C. Malik, Reliability Measures of Repairable Systems with Arrival Time of Server -- P. V. Pandit and S. Joshi, Stress-Strength Reliability estimation for Multi-component system Based on Upper Record Values under New Weibull-Pareto Distribution -- V. S. Vaidyanathan and H. Bakouch, Record Values and Associated Inference on Muth Distribution -- Shalabh, Statistical Linear Calibration in Data with Measurement Errors.

This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2-4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research.

ISBN: 9789811679322$q(electronic bk.)

Standard No.: 10.1007/978-981-16-7932-2doiSubjects--Topical Terms:

182294
Mathematical statistics

LC Class. No.: QA276.A1 / I57 2020

Dewey Class. No.: 519.54

Applied statistical methodsISGES 2020, Pune, India, January 2-4 /
LDR:04400nmm a2200349 a 4500 001 621414
003 DE-He213
005 20220418201741.0
006 m d
007 cr nn 008maaau
008 221121s2022 si s 0 eng d
020 $a 9789811679322$q(electronic bk.)
020 $a 9789811679315$q(paper)
024 7 $a 10.1007/978-981-16-7932-2 $2 doi
035 $a 978-981-16-7932-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA276.A1 $b I57 2020
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.54 $2 23
090 $a QA276.A1 $b I61 2020
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Applied statistical methods $h [electronic resource] : $b ISGES 2020, Pune, India, January 2-4 / $c edited by David D. Hanagal, Raosaheb V. Latpate, Girish Chandra.
246 3 $a ISGES 2020
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a xviii, 307 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1017 ; $v v. 380
505 0 $a X. Chen and B. Nandram, Bayesian Order-Restricted Inference of Multinomial Counts from Small Areas -- L. Chen and B. Nandram, A Hierarchical Bayesian Beta-Binomial Model for Sub-Areas -- P. Anjoy and H. Chandra, Hierarchical Bayes Prediction of Survey-Weighted Small Area Proportions -- E. Zamanzade1 and M. Mahdizadeh, Efficiency of Ranked Set Sampling Design in Goodness of Fit Tests for Cauchy Distribution -- M. R. Bhosale1, R. Latpate and S. Gitte, Fuzzy Supply Chain Newsboy Problem Under Lognormal Distributed Demand for Bakery Products -- S. Kurade, R. Latpate and D. Hanagal, Probabilistic Supply Chain Models with Partial Backlogging for Deteriorating Items -- P. Ranjan and M. Harshvardhan, The Evolution of Dynamic Gaussian Process Model with Applications to Malaria Vaccine Coverage Prediction -- K. Uniyal1, G. Chandra, R. U. Khan and Y. P. Singh, Grey Relational Analysis for the Selection of Potential Isolates of Alternaria Alternata of Poplar -- Nidhi D. Raykundaliya and Dharmesh P. Raykundaliya -- Decision making for Multi-items Inventory Models -- A. Pandey, David D. Hanagal, S. Tyagi and P. Gupta, Modeling Australian Twin Data using Generalized Lindley Shared Frailty Models, K. Jain and H. S. Kapoor, Ultimate Ruin Probability for Benktander Gibrat Risk Model, K. K. Mahajan, S. Arora and A. Gaur, Test of Homogeneity of Scale Parameters Based on Function of Sample Quasi Ranges -- T. Dai and Sanjay Shete, A Bayesian Response-Adaptive, Covariate-Balanced and Q-learning-Decision-consistent Randomization Method for SMART Designs -- J. Sedransk, An introduction to Bayesian Inference for Finite Population Characteristics -- S. C. Malik, Reliability Measures of Repairable Systems with Arrival Time of Server -- P. V. Pandit and S. Joshi, Stress-Strength Reliability estimation for Multi-component system Based on Upper Record Values under New Weibull-Pareto Distribution -- V. S. Vaidyanathan and H. Bakouch, Record Values and Associated Inference on Muth Distribution -- Shalabh, Statistical Linear Calibration in Data with Measurement Errors.
520 $a This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2-4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research.
650 0 $a Mathematical statistics $3 182294
650 1 4 $a Applied Statistics. $3 805583
650 2 4 $a Statistics in Business, Management, Economics, Finance, Insurance. $3 913173
650 2 4 $a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences. $3 918920
700 1 $a Hanagal, David D. $3 544748
700 1 $a Latpate, Raosaheb V. $3 922596
700 1 $a Chandra, Girish. $3 861041
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer proceedings in mathematics & statistics ; $v v.19. $3 569116
856 4 0 $u https://doi.org/10.1007/978-981-16-7932-2
950 $a Mathematics and Statistics (SpringerNature-11649)