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Statistical Methods for Engineering and Sciences

The text, divided into Chapters 1-12, has been designed for a course on statistical methods for students in engineering, mathematics;

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Statistical Software Engineering

opportunities for further research in the statistical sciences and their applications to software engineering. It is intended to motivate and;

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Statistics Using R

sciences, engineering, management and so on. The book introduces statistical terminology and defines it for the benefit of a novice. For a;

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Engineering Mathematics

Engineering Mathematics (Volume I & II) and Statistical Methods for Engineering & Sciences. The book contains ten chapters covering topics on complex;

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Applied Statistics for Engineers and Scientists

This concise book for engineering and sciences students emphasizes modern statistical methodology and data analysis. APPLIED STATISTICS FOR;

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Statistical Methods for Agricultural and Biological Sciences

STATISTICAL METHODS for Agricultural and Biological Sciences introduces basic statistical concepts as are required for understanding;

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Statistics in the 21st Century

This volume discusses an important area of statistics and highlights the most important statistical advances. It is divided into four;

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Statistics for Engineering and the Sciences

Prepare Your Students for Statistical Work in the Real World Statistics for Engineering and the Sciences, Sixth Edition is designed for;

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Statistical Methods for Engineers

STATISTICAL METHODS FOR ENGINEERS by Geoff Vining and Scott Kowalski presents real engineering data and takes a truly modern approach to;

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Recent Developments in Mathematical, Statistical and Computational Sciences

This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range;

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Statistical Analysis of Empirical Data: Methods for Applied Sciences

Researchers and students who use empirical investigation in their work must go through the process of selecting statistical methods for;

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Statistical Methods for the Social Sciences, Global Edition

sciences rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an;

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Bayesian Theory and Methods with Applications

, environmental sciences, business and economics and social sciences, among others. This book explores the use of Bayesian analysis in the statistical;

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Recent Advances in Mathematical and Statistical Methods

in mathematical and statistical modelling that have been developed for a wide range of research fields, including medical, health sciences, biology;

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Bayesian Methods for Structural Dynamics and Civil Engineering

Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical;

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Statistical Reliability Engineering

applications of the theory presented Statistical Reliability Engineering is an important professional resource for reliability and design engineers;

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Statistical Methods For The Social Sciences

rather than the mathematics and computational details behind them. Statistical Methods for the Social Sciences, 4e presents an introduction to;

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Statistical Models and Methods for Lifetime Data

models and statistical methods used to analyze lifetime data. Equally useful as a reference for individuals interested in the analysis;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.;

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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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Computational Methods for Applied Inverse Problems

of sciences, especially inverse design and novel computational methods for inverse problems. The practical applications include inverse scattering;

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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Statistical Methods in Control & Signal Processing

Presenting statistical and stochastic methods for the analysis and design of technological systems in engineering and applied areas, this;

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Statistical Thermodynamics for Pure and Applied Sciences

of programs in science or engineering. It provides an intermediate level presentation of statistical thermodynamics for students in the physical;

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Statistical Thermodynamics for Pure and Applied Sciences

of programs in science or engineering. It provides an intermediate level presentation of statistical thermodynamics for students in the physical;

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