Foundations of applied statistical methods/ (Record no. 186327)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 00348nam a2200133Ia 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783319024011 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Item number | LEE/F |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Lee, Hang. |
| 245 #0 - TITLE STATEMENT | |
| Title | Foundations of applied statistical methods/ |
| Statement of responsibility, etc. | Hang Lee |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New York: |
| Name of publisher, distributor, etc. | Springer, |
| Date of publication, distribution, etc. | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | x,161 p. : |
| Other physical details | ill. ; |
| Dimensions | 24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine generated contents note: 1.1. Types of Data --<br/>1.2. Description of Data Pattern --<br/>1.2.1. Distribution --<br/>1.2.2. Description of Categorical Data Distribution --<br/>1.2.3. Description of Continuous Data Distribution --<br/>1.2.4. Stem-and-Leaf --<br/>1.3. Descriptive Statistics --<br/>1.3.1. Statistic --<br/>1.3.2. Central Tendency Descriptive Statistics for Quantitative Outcomes --<br/>1.3.3. Dispersion Descriptive Statistics for Quantitative Outcomes --<br/>1.3.4. Variance --<br/>1.3.5. Standard Deviation --<br/>1.3.6. Property of Standard Deviation After Data Transformations --<br/>1.3.7. Other Descriptive Statistics for Dispersion --<br/>1.3.8. Dispersions Among Multiple Data Sets --<br/>1.3.9. Caution to CV Interpretation --<br/>1.3.10. Box and Whisker Plot --<br/>1.4. Descriptive Statistics for Describing Relationships Between Two Outcomes --<br/>1.4.1. Linear Correlation Between Two Continuous Outcomes --<br/>1.4.2. Contingency Table to Describe an Association Between Two Categorical Outcomes --<br/>1.4.3. Odds Ratio. Contents note continued: 1.5. Two Useful Probability Distributions --<br/>1.5.1. Gaussian Distribution --<br/>1.5.2. Density Function of Gaussian Distribution --<br/>1.5.3. Application of Gaussian Distribution --<br/>1.5.4. Standard Normal Distribution --<br/>1.5.5. Binomial Distribution --<br/>1.6. Study Questions --<br/>Bibliography --<br/>2.1. Population and Sample --<br/>2.1.1. Sampling and Non-sampling Errors --<br/>2.1.2. Sample- and Sampling Distributions --<br/>2.1.3. Standard Error --<br/>2.2. Statistical Inference --<br/>2.2.1. Data Reduction and Related Nomenclature --<br/>2.2.2. Central Limit Theorem --<br/>2.2.3. The t-Distribution --<br/>2.2.4. Testing Hypotheses --<br/>2.2.5. Accuracy and Precision --<br/>2.2.6. Interval Estimation and Confidence Interval --<br/>2.2.7. Bayesian Inference --<br/>2.2.8. Study Design and Its Impact to Accuracy and Precision --<br/>2.3. Study Questions --<br/>Bibliography --<br/>3.1. Independent Samples t-Test for Comparing Two Independent Means --<br/>3.1.1. Independent Samples t-Test When Variances Are Unequal. Contents note continued: 3.1.2. Denominator Formulae of the Test Statistic for Independent Samples t-Test --<br/>3.1.3. Connection to the Confidence Interval --<br/>3.2. Paired Sample t-Test for Comparing Paired Means --<br/>3.3. Use of Excel for t-Tests --<br/>3.4. Study Questions --<br/>Bibliography --<br/>4.1. Sums of Squares and Variances --<br/>4.2.F-Test --<br/>4.3. Multiple Comparisons and Increased Type-1 Error --<br/>4.4. Beyond Single-Factor ANOVA --<br/>4.4.1. Multi-factor ANOVA --<br/>4.4.2. Interaction --<br/>4.4.3. Repeated Measures ANOVA --<br/>4.4.4. Use of Excel for ANOVA --<br/>4.5. Study Questions --<br/>Bibliography --<br/>5.1. Inference of a Single Pearson's Correlation Coefficient --<br/>5.1.1.Q & A Discussion --<br/>5.2. Linear Regression Model with One Independent Variable: Simple Regression Model --<br/>5.3. Simple Linear Regression Analysis --<br/>5.4. Linear Regression Models with Multiple Independent Variables --<br/>5.5. Logistic Regression Model with One Independent Variable: Simple Logistic Regression Model. Contents note continued: 5.6. Consolidation of Regression Models --<br/>5.6.1. General and Generalized Linear Models --<br/>5.6.2. Multivariate Analyses and Multivariate Model --<br/>5.7. Application of Linear Models with Multiple Independent Variables --<br/>5.8. Worked Examples of General and Generalized Linear Modes --<br/>5.8.1. Worked Example of a General Linear Model --<br/>5.8.2. Worked Example of a Generalized Linear Model (Logistic Model) Where All Multiple Independent Variables Are Dummy Variables --<br/>5.9. Study Questions --<br/>Bibliography --<br/>6.1.Comparing Two Proportions Using 2x2 Contingency Table --<br/>6.1.1. Chi-Square Test for Comparing Two Independent Proportions --<br/>6.1.2. Fisher's Exact Test --<br/>6.1.3.Comparing Two Proportions in Paired Samples --<br/>6.2. Normal Distribution Assumption-Free Rank-Based Methods for Comparing Distributions of Continuous Outcomes --<br/>6.2.1. Permutation Test --<br/>6.2.2. Wilcoxon's Rank Sum Test --<br/>6.2.3. Kruskal-Wallis Test --<br/>6.2.4. Wilcoxon's Signed Rank Test. Contents note continued: 6.3. Linear Correlation Based on Ranks --<br/>6.4. About Nonparametric Methods --<br/>6.5. Study Questions --<br/>Bibliography --<br/>7.1. Censored Observations --<br/>7.2. Probability of Survival Longer Than Certain Duration --<br/>7.3. Statistical Comparison of Two Survival Distributions with Censoring --<br/>7.4. Study Question --<br/>Bibliography --<br/>8.1. Sample Size for Interval Estimation of a Single Mean --<br/>8.2. Sample Size for Hypothesis Tests --<br/>8.2.1. Sample Size for Comparing Two Means Using Independent Samples z- and t-Tests --<br/>8.2.2. Sample Size for Comparing Two Proportions --<br/>8.3. Study Questions --<br/>Bibliography --<br/>9.1. Review Exercise 1 --<br/>9.2. Review Exercise 2 --<br/>9.2.1. Part A (30 Points): Questions 1-15 "True/False" Questions, Please Explain/Criticize Why If You Chose to Answer False (2 Points Each) --<br/>9.2.2. Part B (15 Points): Questions 16.1-16.3 --<br/>9.2.3. Part C (15 Points): Questions 17-19 --<br/>9.2.4. Part D (10 Points): Questions 20-21 --<br/>9.2.5. Part E (5 Points): Question 22. Contents note continued: 9.2.6. Part F (20 Points): Questions 23-26. |
| 650 ## - SUBJECT | |
| Keyword | Mathematical statistics |
| 650 ## - SUBJECT | |
| Keyword | Statistics |
| 650 ## - SUBJECT | |
| Keyword | Research--Statistical methods |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | General Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Full call number | Accession number | Date last seen | Date last checked out | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Central Library, Sikkim University | Central Library, Sikkim University | General Book Section | 29/08/2016 | 519.5 LEE/F | P41341 | 21/09/2019 | 21/09/2019 | General Books |