Advanced Multivariate Data Analysis With Mplus

Looking for complete instructions on manipulating, processing, cleaning, and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems, using Python libraries such as NumPy, pandas, matplotlib, and IPython.Written by Wes McKinney, the main author of the pandas library, Python for Data Analysis also serves as a practical, modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.

Become a master of data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! This popular quantitative methods text helps you maximize your success w

Ott and Longnecker's AN INTRODUCTION TO STATISTICAL METHODS AND DATA ANALYSIS, Sixth Edition, provides a broad overview of statistical methods for advanced undergraduate and graduate students from a v

So here’s a funny deal: You know how to use Excel. You know how to create simple workbooks. And how to print stuff. And you can even, with just a little bit of fiddling, create cool-looking charts. Bu

This practical resource helps students build essential skills for managing the typical math scenarios they encounter every day. Through high-interest lessons, guided activities, and reproducible indep

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Holistic approach to understanding medical statisticsThis hands-on guide is much more than a basic medical statistics introduction. It equips you with the statistical tools required for evidence-based

Third Edition brings the text up to date with new material and updated references.New content includes an introduction to left and interval censored data; the log-logistic distribution; estimation pro

Along with providing a useful discussion of categorical data analysis techniques, this book shows how to apply these methods with the SAS System. The authors include practical examples from a broad ra

This student-friendly text integrates topics of fundamental importance such as keeping a laboratory notebook, analysing experimental data and report writing with the necessary tools to perform procedu

Advanced Issues in Partial Least Squares Structural Equation Modeling provides a practical and applied description of advanced issues in PLS-SEM relevant for students, professors and applied researchers. Authors Joseph F. Hair, Jr., Marko Sarstedt, Christian Ringle, Siegfried P. Gudergan combine simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book. Furthermore, instead of providing technical descriptions of the concepts with a multitude of formulae, the book will focus on the appropriate analysis of data and interpretation of outputs. Many of the examples are based on the SmartPLS software, created and maintained by the authors. The book is easy to use for both independent and guided learning, including numerous graphs, tables, illustrations, multiple downloadable datasets (provided on a companion website), exercises, and further readings. Where appropriate, supplementary analyses and data mana

As well as providing a clear and critical introduction to the theory, this refreshing overview focuses on the practice of feminism with coverage of actions and activism, bringing the subject to life for newcomers as well as offering fresh perspectives for advanced students. Explanations of the main strands to feminism, such as liberalism, sit alongside an exploration of a range of approaches, such as radical, anarchist and Marxist feminism, and provide much-needed context against which more familiar historical themes may be understood. The author's broad and inclusive view conveys the diversity and disagreement within feminism with accessible clarity. The analysis of key terms equips readers with a critical understanding of the vocabulary of feminist debates that will be invaluable to undergraduate students.

Language learning research aims to describe and fully explain how and why language learning takes place, but can fall short of its stated purpose. Systematic, rigorous research is needed if the growing field of language learning is to progress methodically. This book demonstrates and fully explains such a methodology. Given that research in language acquisition yields practical pedagogical implications, it is crucial that it is rigorous and accurate.This book offers a quantitative research methodology that relies on statistical analysis in order to make inferences and conclusions about language learning. Experimental research aims to understand differences between or within groups of learners under manipulated environments. It requires strict control of conditions, enabling interpretations with a low factor of error. Aek Phakiti provides step-by-step guidelines and underlying principles, epistemology and methodology, in a book that is essential for advanced students of language acquisi

An analysis of recent data on the economic behavior of market institutions in sub-Saharan Africa, with implications for future research and current policy. In Market Institutions in Sub-Saharan Afri

As telecom engineers struggle with implementing 3G networks, this in-depth guide to advanced methods of transmitting voice and modulated data over 3G ATM/IP backbones is especially timely. Readers wil

An introduction to technical analysis with a free software and data offer from one of the top names in the businessThis indispensable book will guide traders and individual investors through the most

Well-written, advanced-level text covers basic Fourier analysis, applications. Fourier series, orthogonal systems, Laplace transforms, Bessel functions, much more. Includes 266 exercises with solutions.

This book describes the kinds of latent variable models that can be applied to multivariate data and the purposes for which different analyses can be used. It outlines the steps in model estimation an

Zechmeister and Posavac's unique, progressive pedagogical framework presents students with a model of analysis and interpretation called "I-D-E-A". This cutting edge model leads students through the p

Cluster analysis comprises a range of methods of classifying multivariate data into subgroups, and these techniques are widely applicable. The 4th edition of Cluster Analysis updates the successful 3