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Iodine Made Simple

Jazz Improvisation Using Simple Melodic Embellishment

Jazz Improvisation Using Simple Melodic Embellishment

Jazz Improvisation Using Simple Melodic Embellishment teaches fundamental concepts of jazz improvisation highlighting the development of performance skills through embellishment techniques. Written with the college-level course in mind this introductory textbook is both practical and comprehensive ideal for the aspiring improviser focused not on scales and chords but melodic embellishment. It assumes some basic theoretical knowledge and level of musicianship while introducing multiple techniques mindful that improvisation is a learned skill as dependent on hard work and organized practice as it is on innate talent. This jargon-free textbook can be used in both self-guided study and as a course book fortified by an array of interactive exercises and activities: musical examples performance exercises written assignments practice grids resources for advanced study and more! Nearly all musical exercises—presented throughout the text in concert pitch and transposed in the appendices for E-flat B-flat and bass clef instruments—are accompanied by backing audio tracks available for download via the Routledge catalog page along with supplemental instructor resources such as a sample syllabus PDFs of common transpositions and tutorials for gear set-ups. With music-making at its core Jazz Improvisation Using Simple Melodic Embellishment implores readers to grab their instruments and play providing musicians with the simple melodic tools they need to jazz it up.

GBP 48.99
1

Quality and GMP Auditing Clear and Simple

SPSS Demystified A Simple Guide and Reference

SPSS Demystified A Simple Guide and Reference

Without question statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course students are often apprehensive or extremely anxious toward the subject matter. And while IBM SPSS® is one of the more easy-to-use statistical software programs available for anxious students who realize they not only have to learn statistics but also new software the task can seem insurmountable. Keenly aware of students’ anxiety with statistics (and the fact that this anxiety can affect performance) Ronald D. Yockey has written SPSS® Demystified: A Simple Guide and Reference now in its fourth edition. Through a comprehensive step-by-step approach this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS®. Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses. Key features of the text: • Step-by-step instruction and screenshots • Designed to be hands-on with the user performing the analyses alongside the text on their computer as they read through each chapter • Call-out boxes provided highlighting important information as appropriate • SPSS® output explained with written results provided using the popular widely recognized APA format • End-of-chapter exercises included allowing for additional practice • SPSS® data sets available on the publisher’s website New to the Fourth Edition: • Fully updated to SPSS® 28 • Updated screenshots in full color to reflect changes in the SPSS® software system (version 28) • Exercises updated with up-to-date examples • Exact p-values provided (consistent with APA recommendations) | SPSS Demystified A Simple Guide and Reference

GBP 52.99
1

IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference seventeenth edition takes a straightforward step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots clear writing and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling factor analysis discriminant analysis measures of internal consistency MANOVA (between- and within-subjects) cluster analysis Log-linear models logistic regression and a chapter describing residuals. The end sections include a description of data files used in exercises an exhaustive glossary suggestions for further reading and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries has been an academic best seller through most of the earlier editions and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots explanations and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection. | IBM SPSS Statistics 27 Step by Step A Simple Guide and Reference

GBP 66.99
1

Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression in the analysis of experimental data and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R a language that is widely used and freely available. The authors include R codes for all programs and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies diagnose existing studies and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains. | Statistical Power Analysis A Simple and General Model for Traditional and Modern Hypothesis Tests Fifth Edition

GBP 49.99
1

2D to VR with Unity5 and Google Cardboard

Multiple Imputation in Practice With Examples Using IVEware

Evapotranspiration Principles and Applications for Water Management

System Integration

Building Structures understanding the basics

Optical Thin Film Design

Dictionary of Pharmaceutical Dosage Forms

Small Wind Turbines for Electricity and Irrigation Design and Construction

Wearing Gauss’s Jersey

OCT Made Easy

The Minor Illness Manual 5th Edition

Introduction to High-Dimensional Statistics

Introduction to High-Dimensional Statistics

Praise for the first edition: [This book] succeeds singularly at providing a structured introduction to this active field of research. … it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. … recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research. —Journal of the American Statistical Association Introduction to High-Dimensional Statistics Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field and much progress has been made on a large variety of topics providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics this new edition: Offers revised chapters from the previous edition with the inclusion of many additional materials on some important topics including compress sensing estimation with convex constraints the slope estimator simultaneously low-rank and row-sparse linear regression or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms clustering and minimax lower bounds. Provides enhanced appendices minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection sparsity and the Lasso iterative hard thresholding aggregation support vector machines and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples.

GBP 74.99
1

Single Molecule Science Physical Principles and Models

Understanding General Chemistry

Statistical Thinking in Clinical Trials