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#### Introduction to Statistics Through Resampling Methods and Microsoft Office Excel

Wiley 2005; US$ 112.00Learn statistical methods quickly and easily with the discovery method With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers quickly master and learn to apply statistical methods, such as bootstrap, decision trees, t-test,... more...

#### Latent Class and Latent Transition Analysis

Wiley 2013; US$ 128.00A modern, comprehensive treatment of latent class and latent transition analysis for categorical data On a daily basis, researchers in the social, behavioral, and health sciences collect information and fit statistical models to the gathered empirical data with the goal of making significant advances in these fields. In many cases, it can be useful... more...

#### Latent Curve Models

Wiley 2006; US$ 153.00An effective technique for data analysis in the social sciences The recent explosion in longitudinal data in the social sciences highlights the need for this timely publication. Latent Curve Models: A Structural Equation Perspective provides an effective technique to analyze latent curve models (LCMs). This type of data features random intercepts... more...

#### Latent Variable Models and Factor Analysis

Wiley 2011; US$ 90.00Latent Variable Models and Factor Analysis provides a comprehensive and unified approach to factor analysis and latent variable modeling from a statistical perspective. This book presents a general framework to enable the derivation of the commonly used models, along with updated numerical examples. Nature and interpretation of a latent variable... more...

#### Learning Regression Analysis by Simulation

Springer Japan 2013; US$ 109.00This book uses simulation data instead of actual data to show the functions of statistical methods, and includes programs written in free 'R' software that illustrate clearly how these methods work to bring intrinsic values of data to the surface. more...

#### Linear Regression Analysis

Wiley 2012; US$ 183.00Concise, mathematically clear, and comprehensive treatment of the subject. * Expanded coverage of diagnostics and methods of model fitting. * Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance models. * More than 200 problems throughout the book... more...

#### Logistic Regression Models

CRC Press 2009; US$ 94.95Logistic Regression Models presents an overview of the full range of logistic models, including binary, proportional, ordered, partially ordered, and unordered categorical response regression procedures. Other topics discussed include panel, survey, skewed, penalized, and exact logistic models. The text illustrates how to apply the various models... more...

#### Mathematical Algorithms for Linear Regression

Elsevier Science 2014; US$ 72.95Mathematical Algorithms for Linear Regression discusses numerous fitting principles related to discrete linear approximations, corresponding numerical methods, and FORTRAN 77 subroutines. The book explains linear Lp regression, method of the lease squares, the Gaussian elimination method, the modified Gram-Schmidt method, the method of least absolute... more...

#### Measurement Error in Nonlinear Models

CRC Press 2006; US$ 125.95It?s been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and extensively... more...

#### Methods of Multivariate Analysis

Wiley 2003; US$ 179.00Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Methods of Multivariate Analysis was among those chosen. When measuring several variables on a complex experimental unit, it is often necessary to analyze the variables simultaneously, rather than isolate them and consider them individually.... more...