Introduction to statistical analysis / [by] Wilfrid J. Dixon [and] Frank J. Massey, Jr.

Por: Dixon, Wilfrid Joseph, 1915-Colaborador(es): Massey, Frank Jones [joint author.]Editor: New York : McGraw-Hill [1968, c1969]Edición: 3rd edDescripción: vii, 638 p. : il. ; 23 cmTema(s): StatisticsOtra clasificación: *CODIGO*
Contenidos:
1 INTRODUCTION [1] --
1-1 Types of proof [1] --
1-2 Generality of applications of statistics [2] --
1-3 Examples of statistical problems [3] --
2 DISTRIBUTIONS [5] --
2- 1 Observations [5] --
2-2 Histogram [6] --
2-3 Percentiles [9] --
3 INTRODUCTION TO MEASURES --
OF CENTRAL VALUE AND DISPERSION [22] --
3- 1 Measures of central value: Arithmetic mean [22] --
3-2 Measures of dispersion: Variance [26] --
3-3 Effect of uniform change in the observations [30] --
4 POPULATION AND SAMPLE [37] --
4- 1 Population, or universe [38] --
4-2 Sample [39] --
4-3 Random numbers [40] --
4-4 Design of experiments [42] --
4-5 Sampling distributions [43] --
4-6 Sampling without replacement [49] --
4-7 Sampling experiments [50] --
5 THE NORMAL DISTRIBUTION [56] --
5-1 Equation of the normal curve [56] --
5-2 An example of the normal distribution [58] --
5-3 The cumulative normal distribution [61] --
5-4 Areas under the normal curve [62] --
5-5 Normal-probability paper [63] --
5-6 Fitting a normal curve to a histogram [66] --
5-7 Sampling from a dichotomous (yes-or-no) population [67] --
5-8 Normal populations [71] --
6 STATISTICAL INFERENCE: ESTIMATION AND TESTS [75] --
6-1 Estimation and tests of hypotheses [75] --
6-2 Confidence-interval estimate of the mean [77] --
6-3 Estimation of u when is unknown [80] --
6-4 Test of hypothesis on the mean [82] --
6-5 Second type of error [83] --
6-6 One-sided tests [87] --
6-7 Comments on inference [88] --
7 INFERENCE: SINGLE POPULATION [95] --
7-1 The mean [95] --
7-2 Proportions: Estimation and tests [100] --
7-3 The standard deviation and variance [101] --
8 INFERENCE: TWO POPULATIONS [109] --
8-1 Sampling distribution of F [109] --
8-2 Tests of hypotheses concerning two variances [111] --
8-3 Estimation of variances using several samples [112] --
8-4 Tests of hypotheses concerning the means of two populations [114] --
8-5 Pairing observations [119] --
8-6 Confidence limits for the difference between two means [123] --
9 EFFICIENCY AND VARIOUS STATISTICS [127] --
9-1 Comparison of mean and median [128] --
9-2 Statistical efficiency [129] --
9-3 Data-handling equipment [131] --
9-4 Other estimates of central value [133] --
9-5 Estimates of dispersion [134] --
9-6 Substitute t and F ratios [139] --
9-7 Estimates with inefficient statistics [140] --
9-8 Tolerance limits [142] --
9-9 Control charts [142] --
10 ANALYSIS OF VARIANCE [150] --
10-1 Examples and discussion of several problems [151] --
10-2 Single variable of classification: Model I [156] --
10-3 Individual comparisons in the one-variable case [162] --
10-4 Two variables of classification: Single observation [167] --
10-5 Two variables of classification: Repeated measurements [175] --
10-6 Two-by-two factorial design: Individual comparisons [181] --
10-7 Weighted means [184] --
11 REGRESSION AND CORRELATION [193] --
11-1 Regression [193] --
11-2. Linear regression [195] --
11-3 Estimation of parameters [195] --
11-4 Estimation and tests in normal populations [197] --
11-5 Test for linearity of regression [200] --
11-6 Correlation problems [202] --
11-7 Computations for the correlation problem [205] --
11-8 Regression in two populations [206] --
11-9 Multiple regression [212] --
11-10 Other estimates of correlation [215] --
12 ANALYSIS OF COVARIANCE [222] --
12-1 Statement of the problem [223] --
12-2 Computation and conclusion [226] --
12-3 Hypothesis and assumptions [230] --
12-4 Extension to other problems [230] --
12-5 Tests for the validity of the assumptions underlying the analysis of covariance [231] --
13-1 Chi square [238] --
13-2 Single classification [238] --
13-3 Two-way classification: Independence [240] --
13-4 Test for goodness of fit [243] --
13-5 Binomial distribution: Proportion [245] --
13-6 Difference in proportions [249] --
13-7 Binomial-probability paper [251] --
13-8 Control chart for percentages [255] --
14 PROBABILITY OF ACCEPTING A FALSE HYPOTHESIS [263] --
14-1 Alternatives and two types of error [264] --
14-2 Power function for testing the hypothesis [264] --
14-3 Operating-characteristic curves [274] --
14-4 Power function of test for proportions [274] --
14-5 Power of the analysis-of-variance tests [277] --
15 MORE ANALYSIS OF VARIANCE [283] --
15-1 Orthogonal contrasts [284] --
15-2 Bioassay [299] --
15-3 Components-of-variance model: Model II [302] --
15-4 Various topics related to the analysis of variance [305] --
15-5 Tests for homogeneity of variances [308] --
15-6 Latin square [310] --
15-7 Multiple orthogonal estimates [313] --
16 QUESTIONS OF NORMALITY [322] --
16-1 Some approaches to normalization [323] --
16-2 Transformations [323] --
16-3 Detection of extremes [328] --
16-4 Winsorized estimates [330] --
16-5 Winsorized t [331] --
17 NONPARAMETRIC STATISTICS [335] --
17-1 The sign test [335] --
17-2 Extensions of the sign test [340] --
17-3 Runs [342] --
17-4 The rank-sum test [344] --
17-5 Estimation of a cumulative frequency distribution [345] --
17-6 Chebyshev’s inequality [347] --
17-7 Nonparametric tolerance limits [348] --
17-8 Confidence limits for the median [349] --
17-9 Rank correlation [349] --
17-10 Median tests [351] --
17-11 Corner test for association [352] --
17-12 Tests of randomness [353] --
17-13 Remarks on nonparametric methods [354] --
18 SEQUENTIAL ANALYSIS [362] --
18-1 Sequential test [362] --
18-2 Test for proportion [363] --
18-3 Test of hypothesis on means [369] --
18-4 Test for standard deviation [372] --
18-5 Discussion of sequential tests [374] --
19 SENSITIVITY EXPERIMENTS [377] --
19-1Graphical solution [378] --
19-2The “up-and-down” method [380] --
19-3Statistical analysis for IV large [382] --
19-4Confidence intervals [384] --
19-5Statistical analysis for N small [386] --
20 PROBABILITY [395] --
20-1Two-way frequency table [396] --
20-2Axioms and theorems of probability [399] --
20-3Counting techniques: Permutations and combinations [401] --
20-4Discrete frequency distributions [410] --
20-5Mean and variance formulas [415] --
20-6The Poisson distribution [417] --
20-7Continuous density functions [419] --
20-8Expectation [421] --
GENERAL COMMENTS [427] --
REFERENCES [439] --
LIST OF TABLES [445] --
ANSWERS [587] --
INDEX [631] --
List(s) this item appears in: Últimas adquisiciones
    Average rating: 0.0 (0 votes)
Item type Home library Shelving location Call number Materials specified Status Date due Barcode
Libros Libros Instituto de Matemática, CONICET-UNS
Últimas adquisiciones 62 D621-3 (Browse shelf) Available A-9348

Bibliografía: p. 439-443.

1 INTRODUCTION [1] --
1-1 Types of proof [1] --
1-2 Generality of applications of statistics [2] --
1-3 Examples of statistical problems [3] --
2 DISTRIBUTIONS [5] --
2- 1 Observations [5] --
2-2 Histogram [6] --
2-3 Percentiles [9] --
3 INTRODUCTION TO MEASURES --
OF CENTRAL VALUE AND DISPERSION [22] --
3- 1 Measures of central value: Arithmetic mean [22] --
3-2 Measures of dispersion: Variance [26] --
3-3 Effect of uniform change in the observations [30] --
4 POPULATION AND SAMPLE [37] --
4- 1 Population, or universe [38] --
4-2 Sample [39] --
4-3 Random numbers [40] --
4-4 Design of experiments [42] --
4-5 Sampling distributions [43] --
4-6 Sampling without replacement [49] --
4-7 Sampling experiments [50] --
5 THE NORMAL DISTRIBUTION [56] --
5-1 Equation of the normal curve [56] --
5-2 An example of the normal distribution [58] --
5-3 The cumulative normal distribution [61] --
5-4 Areas under the normal curve [62] --
5-5 Normal-probability paper [63] --
5-6 Fitting a normal curve to a histogram [66] --
5-7 Sampling from a dichotomous (yes-or-no) population [67] --
5-8 Normal populations [71] --
6 STATISTICAL INFERENCE: ESTIMATION AND TESTS [75] --
6-1 Estimation and tests of hypotheses [75] --
6-2 Confidence-interval estimate of the mean [77] --
6-3 Estimation of u when is unknown [80] --
6-4 Test of hypothesis on the mean [82] --
6-5 Second type of error [83] --
6-6 One-sided tests [87] --
6-7 Comments on inference [88] --
7 INFERENCE: SINGLE POPULATION [95] --
7-1 The mean [95] --
7-2 Proportions: Estimation and tests [100] --
7-3 The standard deviation and variance [101] --
8 INFERENCE: TWO POPULATIONS [109] --
8-1 Sampling distribution of F [109] --
8-2 Tests of hypotheses concerning two variances [111] --
8-3 Estimation of variances using several samples [112] --
8-4 Tests of hypotheses concerning the means of two populations [114] --
8-5 Pairing observations [119] --
8-6 Confidence limits for the difference between two means [123] --
9 EFFICIENCY AND VARIOUS STATISTICS [127] --
9-1 Comparison of mean and median [128] --
9-2 Statistical efficiency [129] --
9-3 Data-handling equipment [131] --
9-4 Other estimates of central value [133] --
9-5 Estimates of dispersion [134] --
9-6 Substitute t and F ratios [139] --
9-7 Estimates with inefficient statistics [140] --
9-8 Tolerance limits [142] --
9-9 Control charts [142] --
10 ANALYSIS OF VARIANCE [150] --
10-1 Examples and discussion of several problems [151] --
10-2 Single variable of classification: Model I [156] --
10-3 Individual comparisons in the one-variable case [162] --
10-4 Two variables of classification: Single observation [167] --
10-5 Two variables of classification: Repeated measurements [175] --
10-6 Two-by-two factorial design: Individual comparisons [181] --
10-7 Weighted means [184] --
11 REGRESSION AND CORRELATION [193] --
11-1 Regression [193] --
11-2. Linear regression [195] --
11-3 Estimation of parameters [195] --
11-4 Estimation and tests in normal populations [197] --
11-5 Test for linearity of regression [200] --
11-6 Correlation problems [202] --
11-7 Computations for the correlation problem [205] --
11-8 Regression in two populations [206] --
11-9 Multiple regression [212] --
11-10 Other estimates of correlation [215] --
12 ANALYSIS OF COVARIANCE [222] --
12-1 Statement of the problem [223] --
12-2 Computation and conclusion [226] --
12-3 Hypothesis and assumptions [230] --
12-4 Extension to other problems [230] --
12-5 Tests for the validity of the assumptions underlying the analysis of covariance [231] --
13-1 Chi square [238] --
13-2 Single classification [238] --
13-3 Two-way classification: Independence [240] --
13-4 Test for goodness of fit [243] --
13-5 Binomial distribution: Proportion [245] --
13-6 Difference in proportions [249] --
13-7 Binomial-probability paper [251] --
13-8 Control chart for percentages [255] --
14 PROBABILITY OF ACCEPTING A FALSE HYPOTHESIS [263] --
14-1 Alternatives and two types of error [264] --
14-2 Power function for testing the hypothesis [264] --
14-3 Operating-characteristic curves [274] --
14-4 Power function of test for proportions [274] --
14-5 Power of the analysis-of-variance tests [277] --
15 MORE ANALYSIS OF VARIANCE [283] --
15-1 Orthogonal contrasts [284] --
15-2 Bioassay [299] --
15-3 Components-of-variance model: Model II [302] --
15-4 Various topics related to the analysis of variance [305] --
15-5 Tests for homogeneity of variances [308] --
15-6 Latin square [310] --
15-7 Multiple orthogonal estimates [313] --
16 QUESTIONS OF NORMALITY [322] --
16-1 Some approaches to normalization [323] --
16-2 Transformations [323] --
16-3 Detection of extremes [328] --
16-4 Winsorized estimates [330] --
16-5 Winsorized t [331] --
17 NONPARAMETRIC STATISTICS [335] --
17-1 The sign test [335] --
17-2 Extensions of the sign test [340] --
17-3 Runs [342] --
17-4 The rank-sum test [344] --
17-5 Estimation of a cumulative frequency distribution [345] --
17-6 Chebyshev’s inequality [347] --
17-7 Nonparametric tolerance limits [348] --
17-8 Confidence limits for the median [349] --
17-9 Rank correlation [349] --
17-10 Median tests [351] --
17-11 Corner test for association [352] --
17-12 Tests of randomness [353] --
17-13 Remarks on nonparametric methods [354] --
18 SEQUENTIAL ANALYSIS [362] --
18-1 Sequential test [362] --
18-2 Test for proportion [363] --
18-3 Test of hypothesis on means [369] --
18-4 Test for standard deviation [372] --
18-5 Discussion of sequential tests [374] --
19 SENSITIVITY EXPERIMENTS [377] --
19-1Graphical solution [378] --
19-2The “up-and-down” method [380] --
19-3Statistical analysis for IV large [382] --
19-4Confidence intervals [384] --
19-5Statistical analysis for N small [386] --
20 PROBABILITY [395] --
20-1Two-way frequency table [396] --
20-2Axioms and theorems of probability [399] --
20-3Counting techniques: Permutations and combinations [401] --
20-4Discrete frequency distributions [410] --
20-5Mean and variance formulas [415] --
20-6The Poisson distribution [417] --
20-7Continuous density functions [419] --
20-8Expectation [421] --
GENERAL COMMENTS [427] --
REFERENCES [439] --
LIST OF TABLES [445] --
ANSWERS [587] --
INDEX [631] --

MR, REVIEW #

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer

¿Necesita ayuda?

Si necesita ayuda para encontrar información, puede visitar personalmente la biblioteca en Av. Alem 1253 Bahía Blanca, llamarnos por teléfono al 291 459 5116, o enviarnos un mensaje a biblioteca.antonio.monteiro@gmail.com

Powered by Koha