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Statistical Models in Earth Sciences

In this book, the author has given some introduction to the nature of complexities and processes within Earth Sciences and some of theses;

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Spatio-Temporal Heterogeneity

uses a variety of examples to facilitate understanding, from plant ecology, earth and atmospheric sciences, animal biology, forestry and;

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Stochastic Models, Statistics and Their Applications

analysis and reliability, statistics for stochastic processes, big data in technology and the sciences, statistical genetics, experiment design;

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Handbook of Probabilistic Models

engineering, to electronics, electrical, earth sciences, climate, agriculture, water resource, mathematical sciences and computer sciences.

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Statistics for Earth and Environmental Scientists

contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical;

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Statistical Models

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as;

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Statistical Models

This lively and engaging book explains the things you have to know in order to read empirical papers in the social and health sciences, as;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial;

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Statistical Methodology in the Pharmaceutical Sciences

A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include;

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Statistical Methodology in the Pharmaceutical Sciences

A state-of-the-art handbook of statistical analysis for use in the pharmaceutical industry. Areas covered in this reference/text include;

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Statistical Models For Causal Analysis

This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and;

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Statistical Inference For Models With Multivariate T-Distrib

the development of linear statistical models with applications to engineering, the physical sciences, and mathematics * Contains an up-to-date;

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Statistical Size Distributions In Economics And Actuarial Sciences

find Statistical Size Distributions in Economics and Actuarial Sciences to be a truly one-of-a-kind addition to the professional literature.;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and;

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Large-Scale Machine Learning in the Earth Sciences

use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten;

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including;

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Advances on Models, Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including;

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Methods and Applications of Statistics in the Life and Health Sciences

Inspired by the Encyclopedia of Statistical Sciences, Second Edition, this volume outlines the statistical tools for successfully working;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

traditional statistical techniques and mathematical models using differential equations, new developments with a very broad spectrum of applications;

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The Explanatory Power of Models

in the social sciences. It aims to improve the explanatory power of models. The issue is quite novel, and has benefited from a thorough;

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Mathematical Sciences and Their Applications: Recent Advances

Discusses the theoretical and application oriented problems in mathematics and mathematical sciences namely mathematical modelling;

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A Concise Introduction to Statistical Inference

statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical;

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A Concise Introduction to Statistical Inference

statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical;

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Advanced Statistics for the Behavioral Sciences

This book demonstrates the importance of computer-generated statistical analyses in behavioral science research, particularly those using;

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Applied Directional Statistics

, environmental sciences, earth sciences, machine learning and social sciences.;

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Contemporary Statistical Models for the Plant and Soil Sciences [With CD-ROM]

Statistical Models for the Plant and Soil Sciences bridges this gap. The breadth and depth of topics covered is unusual. Each of the main chapters;

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