Titlebook: Statistical Methods in Hydrology and Hydroclimatology; Rajib Maity Textbook 2022Latest edition The Editor(s) (if applicable) and The Autho

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Multivariate Analysis,ques include principal component analysis, supervised principal component analysis, canonical correlation analysis, empirical orthogonal function and one-way and two-way analyses of variance. All these techniques are explained in this chapter with illustrative examples.

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2363-7633 ource that can be applied to climate change impact assessmen.This second edition focuses on the application of statistical methods in the field of hydrology and hydroclimatology. Among the latest theories being used in these fields, the book introduces the theory of copulas and its applications in t

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Regression Analysis and Curve Fitting,sed for assessment of the dependent variable, knowing the independent variables. There are different types of regression models and every regression model consists of some mathematical formulation with parameters to relate independent variables to dependent variable. All these types of regression models are discussed in this chapter.

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Textbook 2022Latest editionn MATLAB, Python and R for some examples are also provided to assist the readers to handle real life data. Besides serving as a textbook for graduate courses on stochastic modeling in hydrology and related disciplines, the book offers a valuable resource for researchers and professionals involved in the field of hydrology and climatology..

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Basic Concepts of Probability and Statistics,variables along with their respective forms of probability distribution function, cumulative distribution function and joint probability distribution are discussed. Application of the probability theories in the field of hydrology and hydroclimatology is illustrated with different examples.

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Hypothesis Testing and Non-parametric Test,f a probability distribution to the data using the knowledge of hypothesis testing. Some of the commonly used non-parametric tests are also explained along with appropriate examples in the field of hydrology and hydroclimatology.

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Basic Concepts of Probability and Statistics,d hydroclimatology due to its stochastic nature. The inferences like the expected frequency of events, prediction of hydrologic phenomena based on the dependent variables, risk assessment and modeling, etc. require in-depth knowledge of probability theory. This chapter starts with the basic concepts

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