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Environmental Statistics, Volume 12 (Hardcover): G.P Patil Environmental Statistics, Volume 12 (Hardcover)
G.P Patil
R2,093 Discovery Miles 20 930 Ships in 12 - 19 working days

The question of what environmental statistics is about is particularly important when it comes to the formulation of relevant research and training, whether in academia, agencies, or industries. This volume aims to give a new perception on the subject with some examples that are of concern and interest today. Environmental statistics is in a take-off stage both for reasons of societal challenge and statistical opportunity, and is demanding more and more from non-traditional and innovative statistical approaches. The chapters in this volume, which are specially prepared by several outstanding professionals involved in statistics and the environment, discuss the current state of the art in diverse areas of environmental statistics. The volume provides new perspectives and problems for future research, training, policy and regulation. It will be valuable to researchers, teachers, consultants and graduate students in statistics, environmental statistics, statistical ecology, and quantitative environmental sciences in academia, industries, governmental agencies, laboratories and libraries.

Multivariate Environmental Statistics, Volume 6 (Hardcover, New): G.P Patil, C.R. Rao Multivariate Environmental Statistics, Volume 6 (Hardcover, New)
G.P Patil, C.R. Rao
R5,609 Discovery Miles 56 090 Ships in 12 - 19 working days

The main purpose of this volume is to provide a new perception of multivariate environmental statistics using some examples that are of concern and interest today. The papers are presented by outstanding research workers. They discuss the current state of the art in different areas of multivariate environmental statistics and provide new problems for future research and instruction. A perspective is to cover a broad spectrum of methods and issues involving multivariate observations and processes, and not just classical multivariate analysis. The book will be valuable to current statistical theory and practice in this area, and will be used by researchers, teachers, and students alike.

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