Statistical Analysis Of Nonnormal Data


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Statistical Analysis of Nonnormal Data


Statistical Analysis of Nonnormal Data

Author: J. V. Deshpande

language: en

Publisher: Taylor & Francis

Release Date: 1995


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Statistical Analysis Of Nonnormal Data Has Successfully Made Available In One Place Nonparametric Methods And Methods Of Discrete Data-Analysis. It Has Attempted To Introduce The Reader To Methods Appropriate For Simple, Continuous, Nonnormal Distribution Of Interest In The Newly Emerging Area Of Survival Analysis And Reliability. The Book Also Provides Computer Programmes For Ready Use.It Can Be Used By Anyone Familiar With Standard Statistical Principles And The Tools In The Framework Of Normal Distribution. Computer Programmes Are In Theready To Use Format. Therefore, Familiarity With Operations Of A Personal Computer And A Dos Environment Is The Only Prerequisite.The Book Would Make An Excellent Text For A Second Course In Statistical Methods For Biologists, Social Scientists, Engineers, Etc. Researchers In Various Disciplines Should Be Able To Use The Methods Described In The Book Without The Benefit Of A Formal Course.

Data Analysis with Small Samples and Non-normal Data


Data Analysis with Small Samples and Non-normal Data

Author: Carl F. Siebert

language: en

Publisher: Oxford University Press

Release Date: 2018


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Introduction to nonparametrics -- Analyzing single variables and single groups -- Comparing two or more independent groups -- Comparing two or more related groups -- Predicting with multiple independent variables -- Appendix -- Index

Statistical Analysis Quick Reference Guidebook


Statistical Analysis Quick Reference Guidebook

Author: Alan C. Elliott

language: en

Publisher: SAGE

Release Date: 2007


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A practical `cut to the chase′ handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.