This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing, robust inference, regression and design and sample size methodology. The text also fully describes ...
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This is one of two volumes that sets forth invited papers presented at the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, representing the ideas of vanguard researchers on the topic, present several different subspecialties, including applied probability, models and applications, estimation and testing, robust inference, regression and design and sample size methodology. The text also fully describes the applications of these new ideas to industry, ecology, biology, health, economics and management. Researchers and graduate students in mathematical analysis, as well as probability and statistics professionals in industry, will learn much from this volume.
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Add this copy of Advances on Methodological and Applied Aspects of to cart. $58.23, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2020 by CRC Press.
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Very Good. No Jacket. Book This is one of two volumes that sets forth invited papers from the International Indian Statistical Association Conference. This volume emphasizes advancements in methodology and applications of probability and statistics. The chapters, each representing the ideas of experts, explore a range of areas, including applied probability, models and applications, estimation and testing, robust inference, regression and design, and sample size methodology. They also describe applications of these new ideas in industry, ecology, biology, health, economics, and management. Along with those in probability and statistics, this volume will benefit researchers and graduate students in mathematical analysis.
