Spatial Regression Models (Ward Michael D.)(Paperback)

Spatial Regression Models (Ward Michael D.)(Paperback)

Spatial Regression Models illustrates the use of spatial analysis in the social sciences within a regression framework and is accessible to readers with no prior background in spatial analysis. The text covers different modeling-related topics for continuous dependent variables, including: mapping

Data Analysis Using Regression and Multilevel Hierarchical Models (Gelman Andrew)(Paperback)

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing

Life Between Lives: Hypnotherapy for Spiritual Regression (Newton Michael)(Paperback)

Dr. Michael Newton is world-famous for his spiritual regression techniques that take hypnotic subjects back to their time in the spirit world. His two best-selling books of client case studies, Journey of Souls and Destiny of Souls, have left thousands of readers eager to discover their own

Spatial and Spatio-Temporal Bayesian Models with R - Inla (Cameletti Michela)(Pevná vazba)

Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics. The authors combine an introduction to Bayesian theory and methodology with a focus on the spatial and

Understanding Regression Analysis: An Introductory Guide (Schroeder Larry D.)(Paperback)

Understanding Regression Analysis: An Introductory Guide by Larry D. Schroeder, David L. Sjoquist, and Paula E. Stephan presents the fundamentals of regression analysis, from its meaning to uses, in a concise, easy-to-read, and non-technical style. It illustrates how regression coefficients are

Multiple Regression: A Primer (Allison Paul D.)(Paperback)

Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed

The Basic Fault: Therapeutic Aspects of Regression (Balint Michael)(Paperback)

When it was first published in 1968, Michael Balint's The Basic Fault laid the groundwork for a far-ranging reformation in psychoanalytic theory. This reformation is still incomplete, for it remains true today that despite the proliferation of techniques and schools, we do not know which are more

Regression and Other Stories (Gelman Andrew)(Paperback)

Spatial Reasoning (Kumon Publishing)(Paperback)

Kindergarten Spatial Reasoning (Kumon)(Paperback)

Multiple Regression: A Practical Introduction (Roberts Aki)(Paperback)

Multiple Regression: A Practical Introduction is a text for an advanced undergraduate or beginning graduate course in statistics for social science and related fields. Also, students preparing for more advanced courses can self-study the text to refresh and solidify their statistical background

Applied Regression Analysis and Generalized Linear Models (Fox John)(Pevná vazba)

Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as

Introduction to Spatial Data Analysis (Wegmann Martin)(Paperback)

The Power of Past Life Regression (Burgess Steve)(Paperback)

Welcome to the exciting world of past life regression Hypnotherapist Steve Burgess has conducted many thousands of past life regression sessions and this book details some of the incredible healings his clients have experienced as a result of past life therapy. Each of the client's stories is

Applied Regression: An Introduction (Lewis-Beck Colin)(Paperback)

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to

Generalized Linear Models for Bounded and Limited Quantitative Variables (Smithson Michael)(Paperback)

This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in

The Traffic Assignment Problem: Models and Methods (Patriksson Michael)(Paperback)

This monograph provides both a unified account of the development of models and methods for the problem of estimating equilibrium traffic flows in urban areas and a survey of the scope and limitations of present traffic models. The development is described and analyzed by the use of the powerful

Spatial Analysis Methods and Practice: Describe - Explore - Explain Through GIS (Grekousis George)(Paperback)

This is an introductory textbook on spatial analysis and spatial statistics through GIS. Each chapter presents methods and metrics, explains how to interpret results, and provides worked examples. Topics include: describing and mapping data through exploratory spatial data analysis; analyzing

Spatial Statistical Methods for Geography (Rogerson Peter A.)(Paperback)

This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data. The book assumes basic mathematical and statistics knowledge but also provides a

Generalized Linear Models with Examples in R (Dunn Peter K.)(Pevná vazba)

*This book eases students into GLMs and motivates the need for GLMs by starting with regression.* A practical working knowledge of good applied statistical practice is developed through the use of these real data sets and numerous case studies*. Each example in the text is cross-referenced with the

The Manga Guide to Regression Analysis (Takahashi Shin)(Paperback)

Like a lot of people, Miu has had trouble learning regression analysis. But with new motivation--in the form of a handsome but shy customer--and the help of her brilliant cafe coworker Risa, she's determined to master it.Follow along with Miu and Risa in The Manga Guide to Regression Analysis as

The art of hypnotic regression therapy (Hunter C. Roy)(Paperback)

Hypnotic Regression Therapy, or HRT, is a type of hypnotherapy in which, following the induction of a good trance state, specialized suggestions are given to guide the client in reviewing and emotionally reframing earlier experiences that have either caused or contributed to the client's current

Generalizing the Regression Model: Techniques for Longitudinal and Contextual Analysis (Wheaton Blair)(Paperback)

This comprehensive text introduces regression, the general linear model, structural equation modeling, the hierarchical linear model, growth curve models, panel data, and event history models, and includes discussion of published implementations of each technique showing how it was used to address

Mathematical Models in the Biosciences I (Frame Michael)(Paperback)

An award-winning professor's introduction to essential concepts of calculus and mathematical modeling for students in the biosciences This is the first of a two-part series exploring essential concepts of calculus in the context of biological systems. Michael Frame covers essential ideas and