Statistical methods/ (Record no. 1153)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 10724nam a2200157 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 8185938180 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | CUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 001.422 |
| Item number | SNE/S |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Snedecor, George W. |
| 245 ## - TITLE STATEMENT | |
| Title | Statistical methods/ |
| Statement of responsibility, etc. | George W. Snedecor, William G. Cohran. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 8th edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | New Delhi : |
| Name of publisher, distributor, etc. | Rajkamal Electric Press , |
| Date of publication, distribution, etc. | 1989. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xx, 503 p. : |
| Other physical details | ill. ; |
| Dimensions | 26 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Chapter 1. Introduction<br/>1.1 Introduction<br/>1.2 Purpose of this chapter<br/>1.3 Examples of sample surveys<br/>1.4 Problems of sampling<br/>1.5 Biased sampling<br/>1.6 Random sampling<br/>1.7 Tables of random digits<br/>1.8 Sampling distributions of estimates<br/>1.9 Studies of the comparative effects of different agents<br/>1.10 Problems in drawing conclusions from comparative<br/>studies<br/>1.11 Effectiveness of the Salk polio vaccine<br/>1.12 Death rates of different smoking groups<br/>1.13 Observational studies<br/>1.14 Summary<br/>Chapter 2. Frequency Distributions<br/>2.1 Quantitative data<br/>2.2 Frequency distributions<br/>2.3 Grouped frequency distributions<br/>2.4 Class limits<br/>2.5 Cumulative frequency distributions<br/>2.6 Probability distributions<br/>Chapter 3. The Mean and Standard Deviation<br/>3.1 Arithmetic mean<br/>3.2 Population mean<br/>3.3 Population standard deviation<br/>3.4 Two-class populations<br/>3.5 Sample standard deviation _<br/>3.6 Use of frequency distributions to calculate X and s<br/>3.7 Numerical example<br/>3.8 Coefficient of variation<br/>Chapter 4. The Normal Distribution<br/>4.1 Normally distributed populations<br/>4.2 Reasons for use of the normal distribution<br/>4.3 Tables of the normal distribution<br/>4.4 Standard deviation of sample meitns<br/>4.5 Frequency distribution of sample .means<br/>4.6 Three illustrations<br/>4.7 Confidence limits for /t when a is known<br/>4.8 Size of sample<br/>4.9 Student's t distribution<br/>4.10 Confidence limits for n based on th« t distribution<br/>4.11 Experinrental sampling of the r dist ribution<br/>4.12 Sample check on confidence interva 1 statements<br/>4.13 Probability plots<br/>4.14 A finite population simulating the normal<br/>Chapter 5. T^ts of Hypothecs<br/>5.1 Introduction<br/>5.2 A test of the mean of a normal population (<t known)<br/>5.3 Tests of significance and confidence intervals<br/>5.4 Practical uses of tests of significance<br/>5.5 One-sided or one-tailed tests<br/>5.6 Power of a test of significance<br/>5.7 Testing a mean when a is not known<br/>5.8 Other tests of significance<br/>5.9 Frequency distribution of<br/>5.10 Interval estimates of<br/>5.11 Test of a null hypothesis value of a'<br/>5.12 The test of goodness of fit<br/>5.13 Test of skewness<br/>5.14 Test for kurtosis<br/>Chapter 6. The Comparison of Two Samples<br/>6.1 Estimates and tests of differences<br/>6.2 A simulated paired experiment<br/>6.3 Example of a paired experiment<br/>6.4 Conditions for pairing<br/>6.7 A pooled estimate of variance<br/>6.10 Precautions against bias; randomization<br/>6.11 Analysis ot inaepenaeni samples wnen ax f aj<br/>6.12 A test of the equality of two variances<br/>6.13 Paired versus independent samples<br/>6.14 Sample size in comparative experiments<br/>Chapter 7. The Binomial Distribution<br/>7.1 Introduction<br/>7.2 Some simple rules of probability<br/>7.3 The binomial distribution<br/>7.4 Sampling the binomial distribution<br/>7.5 Probability of at least one success<br/>7.6 The normal approximation and the correction for.<br/>continuity<br/>7.7 Test of significance of a binomial proportion<br/>7.8 Confidence limits for a binomial proportion<br/>7.9 Comparison of proportions in paired samples<br/>7.10 Comparison of proportions in independent samples:<br/>the 2 X 2 table<br/>7.11 The test in a 2 X 2 contingency table<br/>7.12 Test of the independence of two attributes<br/>7.13 Sample size for comparing two proportions<br/>7.14 The Poisson distribution<br/>Chapter 8. Shortcut and Nonparametric Methods<br/>8.1 Introduction<br/>8.2 Sample median<br/>8.3 Estimation of <r from the sample range<br/>8.4 Sign test<br/>8.5 Signed-rank test<br/>8.6 The rank sum test for two independent samples<br/>8.7 Comparison of rank and normal tests<br/>8.8 Nonparametric confidence limits<br/>8.9 Discrete scales with limited values: randomization<br/>test<br/>Chapter 9. Regression<br/>9.1 Introduction<br/>9.2 Calculations for fitting a linear regression<br/>9.3 The mathematical model in linear regression<br/>9.4 Analysis of variance for linear regression<br/>9.5 The method of least squares<br/>9.6 Regression in observational studies<br/>9.7 Apple example<br/>9.8 Estimation of the mean of Y for a given X<br/>9.9 Prediction of an individual new V<br/>9.10 Prediction of a sample mean of K<br/>9.11 Testing a deviation that looks suspiciously large<br/>9.12 Prediction of from Y: linear calibration<br/>9.13 Gabon's use of the term "regression"<br/>9.14 Regression when A'is subject to error<br/>9.15 Fitting a straight line through the origin<br/>Chapter 10. Correlation<br/>10.1 The sample correlation coefficient r<br/>10.2 Properties of r<br/>10.3 Bivariate normal distribution<br/>10.4 Some uses of the correlation coefficient<br/>10.5 Testing the null hypothesis, p - 0<br/>10.6 Confidence limits and tests of hypotheses about p<br/>10.7 Variance of a linear function<br/>10.8 Comparison of two correlated variances in paired<br/>samples<br/>10;9 Nonparametric methods: rank correlation<br/>Chapter 11. Analysis of Frequencies in One-way and<br/>Two-way Class&cations<br/>11.1 Introduction<br/>11.2 Single classifications with more than two classes<br/>11.3 Single classifications with equal expectations<br/>11.4 Test that Poisson samples have the same mean<br/>11.5 Additional tests<br/>11.6 Two-way classifications: the 2 x C contingency table<br/>11.7 Test for homogeneity of binomial samples<br/>11.8 Ordered classifications<br/>11.9 Test for a linear trend in proportions<br/>11.10 The/? X Ccontingency table<br/>11.11 Sets of 2 X 2 tables<br/>Chapter 12. One-way Classifications:<br/>Analysis of Variance<br/>12.1 Extension from two samples to many<br/>12.2 An experiment with four samples<br/>12.3 Analysis of variance: model I (fixed effects)<br/>12.4 Effect of differences between population class means<br/>12.5 The F test<br/>12.6 Analysis of variance with only two classes<br/>12.7 Proof of the algebraic identity in the analysis of<br/>variance<br/>12.8 Planned comparisons among class means<br/>12.9 Orthogonal comparisons<br/>12.10 Samples of unequal sizes<br/>12.11 Weighted linear regression<br/>12.12 Testing effects suggested by the data<br/>12.13 Inspwtion of all differences between pairs of means<br/>Chapter 13. Analysis of Variance:<br/>The Random Effects Model<br/>13.1 Model 11: random effects<br/>13.2 Relation between model II and model I<br/>13.3 Use of model II in problems of measurement<br/>13.4 Structure of model II illustrated by sampling<br/>13.5 Intraclass correlation<br/>13.6 Confidence limits related to variance components<br/>13.7 Random effects with samples of unequal sizes<br/>13.8 Extension to three stages of sampling<br/>13.9 Three stages with mixed model<br/>13.10 Tests of homogeneity of variance<br/>13.11 Levene's test of homogeneity of variance<br/>Chapter 14. Two-way Classifications<br/>14.1 Introduction<br/>14.2 Experiment in randomized blocks<br/>14.3 Comparisons among means<br/>14.4 Notation and mathematical model<br/>14.5 Method of estimation: least squares<br/>I4!6 Deviations from the model<br/>i 4.7 Efficiency of blocking<br/>14.8 Two-way classifications with n observations per cell<br/>14^9 Balancing the order in which treatments are given<br/>14.10 Latin squares<br/>Chapter 15. Failures in the Assumptions<br/>15.1 Introduction<br/>15.2 The problem of missing data<br/>15!3 More than one missing value<br/>15.4 Extreme observations<br/>15.5 Suspected outliers in one-way or two-way<br/>classifications<br/>15.6 Correlations between the errors<br/>15.7 The role of transformations<br/>15.8 A test for nonadditivity<br/>15.9 Application to an experiment<br/>15.10 Variance-stabilizing transformations<br/>15^11 Square root transformation for counts<br/>15.12 Arc sine transformation for proportions<br/>15! 13' Logarithmic transformation<br/>15.14 Nonadditivity in a Latin square<br/>15.15 Simultan^us study of different effects of a<br/>transformation<br/>Chapter 16. Factorial Experiments<br/>'16.1 Introduction<br/>16.2 The single-factor approach<br/>16.3 The factorial approach<br/>16.4 Analysis of the 2^ factorial experiment<br/>16.5 The 2^ factorial when interaction, is present<br/>16.6 The general two-factor experiment<br/>16.7 Polynomial response curves<br/>16.8 Response curves in two-factor experiments<br/>16.9 An example with both factors quantitative<br/>16.10 Fitting the response surface<br/>16.11 Three-factor experiments: the 2'<br/>16.12 Yates'algorithm<br/>16.13 Three-factor experiments: a 2 x 3 x 4<br/>16.14 Expected values of mean squares<br/>16.15 Split-plot design<br/>16.16 Experiments with repeated measurements<br/>Chapter 17. Multiple Linear Regression<br/>17.1 Introduction<br/>17.2 Estimation of the coefficients<br/>17.3 The analysis of variance<br/>17.4 Extension of the analysis of variance<br/>17.5 Variances and covariances of the regression<br/>coefficients<br/>17.6 Relationship between univariate and multivariate<br/>regression<br/>17.7 Examination of residuals<br/>17.8 Standard errors of predicted values<br/>17.9 Interpretation of regression coefficients<br/>17.10 Omitted A-variables<br/>17.11 Effects possibly causal<br/>17.12 Relative importance of different A'-variables<br/>17.13 Selection of variables for prediction<br/>17.14 Partial correlation<br/>Appendix to chapter 17: matrix algebra<br/>Chapter 18. Analysts of Covariance<br/>18.1 Introduction<br/>18.2 Covariance in a completely randomized experiment<br/>18.3 The F test of the adjusted means<br/>18.4 Covariance in a two-way classification<br/>18.5 Use of regression adjustments in observational studies<br/>18.6 Problems with regression adjustments<br/>18.7 Covariance in interpreting differences between classes<br/>18.8 Comparison of regression lines<br/>18.9 Multiple covariance<br/>Chapter 19. Nonlinear Relations<br/>19.1 Introduction<br/>19.2 The exponential growth cur\'e<br/>19.3 The second degree polynomial<br/>19.4 Data having several Ks for each X<br/>19.5 Test of departure from linear regression in covariance<br/>analysis<br/>19.6 Orthogonal polynomials<br/>19.7 A general method of fitting nonlinear regressions<br/>19.8 Fitting an asymptotic regression<br/>Chapter 20. Two-way Tables with Unequal Numbers<br/>and Proportions<br/>20.1 Introduction<br/>20.2 Methods of attack<br/>20.3 Inspection of cell means<br/>20.4 Unweighted analysis of cell means<br/>20.5 Analysis by proportional numbers<br/>20.6 Least squares fitting of the additive model<br/>20.7 Analysis of proportions in two-way tables<br/>20.8 Analysis in the p scale: a 3 x 2 table<br/>Chapter 21. Sample Surveys<br/>21.1 Introduction<br/>21.2 An example of simple random sampling<br/>21.3 An example of stratified random sampling<br/>21.4 Probability sampling<br/>21.5 Standard errors for simple random sampling<br/>21.6 Size of sample<br/>21.7 Standard errors for stratified random sampling<br/>21.8 Choice of sample sizes in the strata<br/>21.9 Systematic sampling<br/>21.10 Two-stage sampling<br/>21.11 Sampling with probability proportional to size<br/>21.12 Ratio estimators<br/>21.13 Nonsampling errors<br/>21.14 Further reading |
| 650 ## - SUBJECT | |
| Keyword | Statistics |
| 650 ## - SUBJECT | |
| Keyword | Biometry |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cochran, William G. |
| 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 | 24/05/2016 | 001.422 SNE/S | P05352 | 14/08/2018 | 14/08/2018 | General Books |