# Statistical Methods and Concepts

New Age International, 1989 - Mathematical statistics - 256 pages
The Book Presents Underlying Concepts, Derivation And Deduction Of A Large Number Of Statistical Methods That Are Applied To Solve Practical Problems. Most Of The Topics Are Developed From Basic Concepts Rather Than Being Introduced Using Abrupt Definitions. Results Are Obtained From First Principles Mainly And In This Way The Book Is Somewhat Different From The Existing Texts On The Subject. This Manner Of Presentation Is Expected To Be Helpful To Students And Teachers To Have Proper Appreciation Of The Subject Of Statistics And To Make Application Of Statistical Methods To Real Life Problem More Meaningful.The Book Has Been Written Using Minimum Of Mathematics Giving Emphasis On Developing Concepts Properly So That It Can Be Approached By A Wider Section Of Readers Including Subject-Matter Specialists And Their Students In Other Disciplines. It Contains Several Alternative Methods Of Deduction And Derivation To Make Calculations Simpler And Systematic. A Large Number Of Examples Have Been Included For Easy Reading And Understanding. Subject-Matter Specialists To Help Applying Statistical Methods For Research, Teaching And Other Activities Can Use It.A Chapter On Computer Programmes Has Been Included To Provide Complete Programmes For Solving Some Problems Requiring Lengthy Calculations Such As Needed For Multiple And Partial Correlation Coefficients, Partial Regression Coefficients And Their Standard Errors And For Printing Statistical Tables Like Probability Integral Table For Bivariate Normal Distribution.

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### Contents

 Preface 1 0Field 7 Median quartile points and cumulative probabilities 34 Linear Estimation 154 Linear estimation for oneway classified data 179 Lincar estimation for twoway classified nonorthogonal 185
 6 195 NonParametric Methods 224 Computer Programs 239 References 251 Copyright

### Popular passages

Page 251 - Blackwell, D. (1947): Conditional expectation and unbiased sequential estimation. Ann. Math. Stat. 18, 105-110.