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Statistical Analysis of Hydrologic Variables

Environmental and Water Resources Institute. Statistical Analysis of Hydrologic Variables: Methods and Applications provides a compilation of state;

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Introduction to Hydrology

real-world problems. The book identifies data sources, introduces statistical analyses in the context of hydrologic problem-solving, covers the;

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Modeling Hydrologic Change: Statistical Methods

within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling;

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Group Invariance In Statistical Inference

many statistical problems exhibit such properties. In statistical analysis with large numbers of variables, the invariance approach is becoming;

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Handbook of Engineering Hydrology

modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic data Dam risk and uncertainty, drought indices for;

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Statistical Data Analysis and Entropy

This book reconsiders statistical methods from the point of view of entropy, and introduces entropy-based approaches for data analysis;

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Accelerated Life Models

, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables;

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Accelerated Life Models

, and statistical analysis for failure-time regression data in accelerated life testing and for degradation data with explanatory variables;

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Engineering Hydrology: An Introduction to Processes, Analysis, and Modeling

*Hydrologic measurements *Streamflow measurement *Remote sensing and geographic information systems *Hydrologic analysis and modeling;

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Data Analysis

art of data analysis from data-gathering to multiple regression in which a dependent variable is influenced by several independent variables;

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Statistical Power Analysis For The

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with;

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Multivariate Statistical Methods

variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical;

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Multivariate Statistical Methods

variables or measures are involved. Any analysis of more than two variables or measures can loosely be considered a multivariate statistical;

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Advances in Latent Variables

of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact;

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Advances in Latent Variables

of Brescia from June 19 to 21, 2013. The focus of the book is on advances in statistical methods for analyses with latent variables. In fact;

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Multiscale Hydrologic Remote Sensing

spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic;

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Multiscale Hydrologic Remote Sensing

spatially and temporally continuous hydrological variables and processes. Illustrated in color, this book examines components in the hydrologic;

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Statistical Optimization of Biological Systems

screening design, applying response surface methodology, and conducting regression modeling Demonstrates the statistical analysis and optimization;

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Statistical Downscaling for Hydrological and Environmental Applications

of hydrological variables are only available on coarse or large spatial and time scales, while finer spatial and temporal resolutions are needed to;

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Statistics and Data Analysis for Nursing Research

The second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical;

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Entropy Theory in Hydrologic Science and Engineering

Infiltration Soil moisture Groundwater flow Rainfall-runoff modeling Streamflow simulation Hydrologic frequency analysis Streamflow forecasting River;

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Statistical Analysis of Extreme Values

Statistical analysis of extreme data is vital to many disciplines including hydrology, insurance, finance, engineering and environmental;

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Interactive Graphics for Data Analysis

focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset;

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Interactive Graphics for Data Analysis

focuses on nine case studies. Each case study describes the background, lists the main goals of the analysis and the variables in the dataset;

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Elementary Statistics for Geographers

Statistics courses frequently gloss over the foundations of statistical analysis and concentrate solely on method. As a result, students;

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Handbook for Doctor of Ministry Projects

development, relevant tests, and introduces techniques of elementary descriptive statistical analysis.;

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Bivariate Data Analysis

understand, step-by-step guide for the user of any computerised statistical package. This book is designed to bivariate (two variables tested;

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