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experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique;
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may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores;
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may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores;
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A bestseller for nearly 25 years, Analysis of Messy Data, Volume 1: Designed Experiments helps applied statisticians and researchers;
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collection of perspectives, edited by Messy Church founder Lucy Moore, brings academic analysis and practitioner wisdom to bear on a key question for;
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aims to provide a standard source of statistically-based mechanical property data, procedures, and overall materials guidelines for;
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. In Part II, the papers cover spatial and temporal data analysis. Part III is focused on longitudinal multinomial models in parametric and semi;
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visual research, biographical method, narrative analysis, computer-assisted qualitative data analysis, and reflexivity that have become more;
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of the twentieth century. The materials from Magdalenska gora were punchased by the Peabodt Museum in the 1930s. Volume III presents data and;
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selected from 431 submissions. The 4 volumes are organized in topical sections on deep and reinforcement learning; big data analysis; neural data;
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Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but;
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Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but;
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corresponding applications. The main classes of stochastic processes for dependent data investigated throughout this book are Markov, semi-Markov;
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parts: I) Genotype by environment interaction and stability analysis, II) GGE biplot and multi-environment trial (MET) data analysis, and III;
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introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience;
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introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience;
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of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive domains. This revised and;
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moving on to data analysis Book DescriptionGetting clean data to reveal insights is essential, as directly jumping into data analysis without;
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, techniques and algorithms. * Part II: Data Design and Analysis This part comprises five chapters on data design and analysis. * Part III;
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-long leadership studies of Princeton University graduates. The chapters in Part III involve psychometric data analysis, meta-analysis, and;
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-long leadership studies of Princeton University graduates. The chapters in Part III involve psychometric data analysis, meta-analysis, and;
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Data management and analysis is one of the fastest growing and most challenging areas of research and development in both academia and;
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of Data III: A Practical Guide to Designing Interactive Data Visualizations explores a diverse range of disciplines to explain how meaning from;
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An exploration of Messy Church and its theological significance for the wider church. Messy Church Theology brings together essays and case;
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multivariate statistics and Part III contains 12 chapters on design and analysis for medical research. The book is written using basic concepts and;
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Critical Theory and Qualitative Data Analysis in Education offers a path-breaking explanation of how critical theories can be used within;
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