# Search Results: 'statistical models'

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156 results for "statistical models"
Introduction to Statistical Modeling: Spring 2007
eBook (PDF): \$0.00
The text and exercises for Spring 2007
Process Performance Models - Statistical, Probablistic & Simulation
eBook (ePub): \$0.00
This book explains the various techniques of PPM development, simulation and optimization. All the explanations are given with IT industry and usage of alternate techniques to build PPM to suit even... More > smaller organizations. Application of Statistical, Probabilistic and Simulation models are elaborated.< Less
Probability and Statistics
Paperback: \$14.95
Probability and statistics are powerful tools for describing the real world using methods that are accessible to students with a solid background in introductory algebra. This supplementary text to... More > White Crane Education's Algebra 1 curriculum, starts with a discussion of the basic concepts of probability then moves into descriptive statistics including using charts to summarize and analyze data, modeling data with linear regression and drawing conclusions about a population using the normal distribution. A student designed research project involving data collection and analysis is outlined through the exercises at the end of several of the book's sections.< Less
Principles of Statistics
Hardcover: \$85.00
Statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data, from simple to advanced, are conceptualized by using the paradigm defining... More > statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations. The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics that will show you how the data analysis is really done.< Less
Principles of Statistics
Hardcover: \$75.00
Statistical textbook for the computer age, where the methods of analysis and procedures for interpretation of data, from simple to advanced, are conceptualized by using the paradigm defining... More > statistics as a modern successor of epistemology, an integral part of the nomological network of scientific investigations. The description of methods of statistical analysis is complemented by a step-by-step analysis of minute data matrices consisting of different arrangements of numbers 1 2 3 4 5 and by simplified examples of real-life research projects to minimize anxiety, improve learning, and maximize interest in quantitative scientific investigations. The authors of textbooks on statistics seldom show you how the analysis is actually done. They often try to impress you with their tremendous cleverness by going about it in the most difficult way. This book describes the core algorithms of the general linear model of statistics that will show you how the data analysis is really done.< Less
Statistical Modeling, Linear Regression and ANOVA, A Practical Computational Perspective
Paperback: \$57.30
Statistical modeling is a branch of advanced statistics and a critical component of many applications in science and business. This book is an attempt to satisfy the need of mathematical... More > statisticians and computational students in linear modeling and ANOVA. This book addresses linear modeling from a computational perspective with an emphasis on the mathematical details and step-by-step calculations using SAS® PROC IML. This book covers correlation analysis, simple and multiple linear regression, polynomial regression, regression with correlated data, model selection, analysis of covariance (ANCOVA), and analysis of variance (ANOVA). The level is suitable for upper level undergraduate and graduate students with knowledge of linear algebra and some programming skills.< Less
Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference
eBook (PDF): \$230.00
This book presents the latest developments in the field of reliability science focusing on applied reliability, probabilistic models and risk analysis. It provides readers with the most up-to-date... More > developments in this field and consolidates research activities in several areas of applied reliability engineering.< Less
STATISTICAL MODELS FOR CLIMATIC CHARACTERIZATION OF SOME SELECTED ZONES OF KARNATAKA
Paperback: \$14.84
Climate is a measure of average pattern of variation in temperature, humidity, atmospheric pressure, wind speed, precipitation, atmospheric particle count and other meteorological variables in a... More > given region over long periods of time. Climate is different from weather, in that weather only describes the short-term conditions of these variables in a given region. The Inter-governmental Panel on Climate Change (IPCC, 2007) defines climate change as, changes in the mean and/or the variability of its properties that persists for an extended period, typically decades or longer. A region's climate is generated by the climate system, which has five components: atmosphere, hydrosphere, cryosphere, lithosphere, and biosphere.< Less
NMH's Incomplete Dictionary of Statistics
eBook (PDF): \$24.99
A dictionary of statistics and probability. Covers the most basic concepts of inference, modelling, regression analysis, hypothesis testing, etc. Probability distributions explained: normal,... More > chi-square, t-distribution, lognormal, binomial, Poisson. Focus on application and comprehensibility rather than completeness. Hence an incomplete dictionary.< Less
NMH's Incomplete Dictionary of Statistics
Paperback: \$29.99
A dictionary of statistics and probability. Covers the most basic concepts of inference, modelling, regression analysis, hypothesis testing, etc. Probability distributions explained: normal,... More > chi-square, t-distribution, lognormal, binomial, Poisson. Focus on application and comprehensibility rather than completeness. Hence an incomplete dictionary.< Less

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