Through careful, deliberate thought this book provides the nonmathematician with a foundation for understanding the underlying statistical reasoning process in clinical research. This volume recognizes the inevitable tension between the mathematics of hypothesis testing and the ethical requirements in medical research and concentrates on the resolution of these issues in P value interpretation. By presenting the material in a conversational format and consciously de-emphasizing computational devices and focusing instead on the features of experimental design that either clarify or blur P value interpretation statistical reasoning becomes extremely accessible to the uninitiated.

An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)

Science & Math

Bhat, U. Narayan

Biological Sciences

Birkhauser

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes. 
<ul>
<li>Integration of theory and application offers improved teachability </li>
<li>Provides a comprehensive introduction to stationary processes and time series analysis </li>
<li>Integrates a broad set of applications into the text </li>
<li>Utilizes a wealth of examples from research papers and monographs </li>
</ul>

Elements of applied stochastic processes

Mathematics

J. Wiley

This 3rd edition of the successful Elements of Applied Stochastic Processes improves on the last edition by condensing the material and organising it into a more teachable format. It provides more in-depth coverage of Markov chains and simple Markov process and gives added emphasis to statistical inference in stochastic processes. 
<ul>
<li>Integration of theory and application offers improved teachability </li> <li>Provides a comprehensive introduction to stationary processes and time series analysis </li> <li>Integrates a broad set of applications into the text </li> <li>Utilizes a wealth of examples from research papers and monographs </li> </ul>

Elements of Applied Stochastic Processes

Miller, Gregory K.

Wiley-Interscience

Fundamentals of Queueing Theory, 2nd Edition Donald Gross and Carl M. Harris A graduate text and reference treating queueing theory from the development of standard models to applications. The emphasis is on real analysis of queueing systems, applications, and problem solving. It has been brought up-to-date by modernizing older treatments. 1985 (0 471-89067-7) 475 pp. Multivariate Descriptive Analysis Correspondence Analysis and Related Techniques for Large Matrices Ludovic Lebart, Alain Morineau and Kenneth M. Warwick Presents a set of statistical methods for exploratory analysis of large date sets and categorical data. This unique approach uses graphical aspects of multidimensional scaling techniques within the context of exploratory data analysis. 1984 (0 471-86743-8) 231 pp. Introduction to Linear Regression Analysis Douglas C. Montgomery and Elizabeth A. Peck A definitive introduction to linear regression analysis covering basic topics as well as recent approaches in the field. It blends theory and application in a way that enables readers to apply regression methodology in a variety of practical settings. Many detailed examples drawn directly from various fields of engineering, physical science, and the management sciences provide clear guidance to the use of the techniques. The interface with widely available computer programs for regression analysis is illustrated throughout with numerous actual computer printouts. 1982 (0 471-05850-5) 504 pp.

Elements of Applied Stochastic Processes, 2nd Edition

wiley

This introductory textbook is designed for a one-semester course on queueing theory that does not require a course in stochastic processes as a prerequisite. By integrating the necessary background on stochastic processes with the analysis of models, this book provides a foundational introduction to the modeling and analysis of queueing systems for a broad interdisciplinary audience of students. Containing exercises and examples, this volume may be used as a textbook by first-year graduate and upper-level undergraduate students. The work may also be useful as a self-study reference for applications and further research.

For most cases of interest, exact solutions to nonlinear equations describing stochastic dynamical systems are not available. This book details the relatively simple and popular linearization techniques available, covering theory as well as application. It examines models with continuous external and parametric excitations, those that cover the majority of known approaches.

Reference

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Books by Bhat, U. Narayan

See the best price to sell, buy, or rent books by Bhat, U. Narayan. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)

Elements of applied stochastic processes

Elements of Applied Stochastic Processes

Elements of Applied Stochastic Processes, 2nd Edition

An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)

An Introduction to Queueing Theory: Modeling and Analysis in Applications (Statistics for Industry and Technology)