Principles & Methods of Statistical Analysis/ by Jerome Frieman, Donald A.Saucier, Stuart Miller

By:

Frieman, Jerome [Author]

Contributor(s):

Publication details: Sage Oaks 2017Edition: FirstDescription: xxix, 496pages: Illustrations; 30 cmsISBN:

9781483358598

Subject(s):

Principles and methods of statistical analysis

DDC classification:

001.422 FRI

Abstract: Of Outliers on Estimates of Location and Spread?-Trimmed Means as Resistant and Efficient Estimators of Location Winsorizing: Another Way to Create a Resistant Estimator of Location Applying These Resistant Estimators to Our Data Resistant Estimators of Spread Applying These Resistant Estimators to Our Data (Part 2) M-Estimators: Another Approach to Finding Resistant Estimators of Location Which Estimator of Location Should I Use? Resampling Methods for Constructing Confidence Intervals A Final Caveat Summary Conceptual Exercises Chapter 6: General Principles of Hypothesis Testing Experimental and Statistical Hypotheses Estimating Parameters The Criterion for Evaluating Our Statistical Hypotheses Creating Our Test Statistic Drawing Conclusions About Our Null Hypothesis But Suppose H0 Is False? Errors in Hypothesis Testing Power.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam General Stacks	Non-fiction	001.422 (Browse shelf(Opens below))	Available		001268

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Of Outliers on Estimates of Location and Spread?-Trimmed Means as Resistant and Efficient Estimators of Location Winsorizing: Another Way to Create a Resistant Estimator of Location Applying These Resistant Estimators to Our Data Resistant Estimators of Spread Applying These Resistant Estimators to Our Data (Part 2) M-Estimators: Another Approach to Finding Resistant Estimators of Location Which Estimator of Location Should I Use? Resampling Methods for Constructing Confidence Intervals A Final Caveat Summary Conceptual Exercises Chapter 6: General Principles of Hypothesis Testing Experimental and Statistical Hypotheses Estimating Parameters The Criterion for Evaluating Our Statistical Hypotheses Creating Our Test Statistic Drawing Conclusions About Our Null Hypothesis But Suppose H0 Is False? Errors in Hypothesis Testing Power.

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