Schaum's outline of theory and problems of statistics
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| Sprache: | English |
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2008
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| Ausgabe: | 4. ed. |
| Schriftenreihe: | Schaum's outline series
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| 245 | 1 | 0 | |a Schaum's outline of theory and problems of statistics |c Murray R. Spiegel ; Larry J. Stephens |
| 246 | 1 | 3 | |a Theory and problems of statistics |
| 246 | 1 | 3 | |a Statistics |
| 250 | |a 4. ed. | ||
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| 300 | |a XIX, 577 S. |b Ill., graph. Darst. | ||
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| 650 | 4 | |a Mathematical statistics |v Problems, exercises, etc | |
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Datensatz im Suchindex
| _version_ | 1804136528764469248 |
|---|---|
| adam_text | Titel: Schaum s outline of theory and problems of statistics
Autor: Spiegel, Murray R.
Jahr: 2008
CHAPTER 1 Variables and Graphs 1
Statistics 1
Population and Sample; Inductive and Descriptive Statistics 1
Variables: Discrete and Continuous 1
Rounding of Data 2
Scientific Notation 2
Significant Figures 3
Computations 3
Functions 4
Rectangular Coordinates 4
Graphs 4
Equations 5
Inequalities 5
Logarithms 6
Properties of Logarithms 7
Logarithmic Equations 7
CHAPTER 2 Frequency Distributions 37
Raw Data 37
Arrays 37
Frequency Distributions 37
Class Intervals and Class Limits 38
Class Boundaries 38
The Size, or Width, of a Class Interval 38
The Class Mark 38
General Rules for Forming Frequency Distributions 38
Histograms and Frequency Polygons 39
Relative-Frequency Distributions 39
Cumulative-Frequency Distributions and Ogives 40
Relative Cumulative-Frequency Distributions and
Percentage Ogives 40
Frequency Curves and Smoothed Ogives 41
Types of Frequency Curves 41
CHAPTER 3 The Mean, Median, Mode, and Other Measures of
Central Tendency 61
Index, or Subscript, Notation 61
Summation Notation 61
Averages, or Measures of Central Tendency 62
xiv CONTENTS
The Arithmetic Mean 62
The Weighted Arithmetic Mean 62
Properties of the Arithmetic Mean 63
The Arithmetic Mean Computed from Grouped Data 63
The Median 64
The Mode 64
The Empirical Relation Between the Mean, Median, and Mode 64
The Geometric Mean G 65
The Harmonic Mean H 65
The Relation Between the Arithmetic, Geometric, and Harmonic
Means 66
The Root Mean Square 66
Quartiles, Deciles, and Percentiles 66
Software and Measures of Central Tendency 67
CHAPTER 4 The Standard Deviation and Other Measures of
Dispersion 95
Dispersion, or Variation 95
The Range 95
The Mean Deviation 95
The Semi-Interquartile Range 96
The 10-90 Percentile Range 96
The Standard Deviation 96
The Variance 97
Short Methods for Computing the Standard Deviation 97
Properties of the Standard Deviation 98
Charlier s Check 99
Sheppard s Correction for Variance 100
Empirical Relations Between Measures of Dispersion 100
Absolute and Relative Dispersion; Coefficient of Variation 100
Standardized Variable; Standard Scores 101
Software and Measures of Dispersion 101
CHAPTER 5 Moments, Skewness, and Kurtosis 123
Moments 123
Moments for Grouped Data 123
Relations Between Moments 124
Computation of Moments for Grouped Data 124
Charlier s Check and Sheppard s Corrections 124
Moments in Dimensionless Form 124
Skewness 125
Kurtosis 125
Population Moments, Skewness, and Kurtosis 126
Software Computation of Skewness and Kurtosis 126
CONTENTS xv
CHAPTER 6 Elementary Probability Theory 139
Definitions of Probability 139
Conditional Probability; Independent and
Dependent Events 140
Mutually Exclusive Events 141
Probability Distributions 142
Mathematical Expectation 144
Relation Between Population, Sample Mean, and Variance 144
Combinatorial Analysis 145
Combinations 146
Stirling s Approximation to n 146
Relation of Probability to Point Set Theory 146
Euler or Venn Diagrams and Probability 146
CHAPTER 7 The Binomial, Normal, and Poisson Distributions 172
The Binomial Distribution 172
The Normal Distribution 173
Relation Between the Binomial and Normal Distributions 174
The Poisson Distribution 175
Relation Between the Binomial and Poisson Distributions 176
The Multinomial Distribution 177
Fitting Theoretical Distributions to Sample Frequency
Distributions , 177
CHAPTER 8 Elementary Sampling Theory 203
Sampling Theory 203
Random Samples and Random Numbers 203
Sampling With and Without Replacement 204
Sampling Distributions 204
Sampling Distribution of Means 204
Sampling Distribution of Proportions 205
Sampling Distributions of Differences and Sums 205
Standard Errors 207
Software Demonstration of Elementary Sampling Theory 207
CHAPTER 9 Statistical Estimation Theory 227
Estimation of Parameters 227
Unbiased Estimates 227
Efficient Estimates 228
Point Estimates and Interval Estimates; Their Reliability 228
Confidence-Interval Estimates of Population Parameters 228
Probable Error 230
xvi CONTENTS
CHAPTER 10 Statistical Decision Theory 245
Statistical Decisions 245
Statistical Hypotheses 245
Tests of Hypotheses and Significance, or Decision Rules 246
Type I and Type II Errors 246
Level of Significance 246
Tests Involving Normal Distributions 246
Two-Tailed and One-Tailed Tests 247
Special Tests 248
Operating-Characteristic Curves; the Power of a Test 248
p-Values for Hypotheses Tests 248
Control Charts 249
Tests Involving Sample Differences 249
Tests Involving Binomial Distributions 250
CHAPTER 11 Small Sampling Theory 275
Small Samples 275
Student s t Distribution 275
Confidence Intervals 276
Tests of Hypotheses and Significance 277
The Chi-Square Distribution 277
Confidence Intervals for a 278
Degrees of Freedom 279
The F Distribution 279
CHAPTER 12 The Chi-Square Test 294
Observed and Theoretical Frequencies 294
Definition of x2 294
Significance Tests 295
The Chi-Square Test for Goodness of Fit 295
Contingency Tables 296
Yates Correction for Continuity 297
Simple Formulas for Computing %2 297
Coefficient of Contingency 298
Correlation of Attributes 298
Additive Property of x% 299
CHAPTER 13 Curve Fitting and the Method of Least Squares 316
Relationship Between Variables 316
Curve Fitting 316
Equations of Approximating Curves 317
Freehand Method of Curve Fitting 318
The Straight Line 318
The Method of Least Squares 319
CONTENTS xvii
The Least-Squares Line 319
Nonlinear Relationships 320
The Least-Squares Parabola 320
Regression 321
Applications to Time Series 321
Problems Involving More Than Two Variables 321
CHAPTER 14 Correlation Theory 345
Correlation and Regression 345
Linear Correlation 345
Measures of Correlation 346
The Least-Squares Regression Lines 346
Standard Error of Estimate 347
Explained and Unexplained Variation 348
Coefficient of Correlation 348
Remarks Concerning the Correlation Coefficient 349
Product-Moment Formula for the Linear
Correlation Coefficient 350
Short Computational Formulas 350
Regression Lines and the Linear Correlation Coefficient 351
Correlation of Time Series 351
Correlation of Attributes 351
Sampling Theory of Correlation 351
Sampling Theory of Regression 352
CHAPTER 15 Multiple and Partial Correlation 382
Multiple Correlation 382
Subscript Notation 382
Regression Equations and Regression Planes 382
Normal Equations for the Least-Squares Regression Plane 383
Regression Planes and Correlation Coefficients 383
Standard Error of Estimate 384
Coefficient of Multiple Correlation 384
Change of Dependent Variable 384
Generalizations to More Than Three Variables 385
Partial Correlation 385
Relationships Between Multiple and Partial Correlation
Coefficients 386
Nonlinear Multiple Regression 386
CHAPTER 16 Analysis of Variance 403
The Purpose of Analysis of Variance 403
One-Way Classification, or One-Factor Experiments 403
xviii CONTENTS
Total Variation, Variation Within Treatments, and Variation
Between Treatments 404
Shortcut Methods for Obtaining Variations 404
Mathematical Model for Analysis of Variance 405
Expected Values of the Variations 405
Distributions of the Variations 406
The F Test for the Null Hypothesis of Equal Means 406
Analysis-of-Variance Tables 406
Modifications for Unequal Numbers of Observations 407
Two-Way Classification, or Two-Factor Experiments 407
Notation for Two-Factor Experiments 408
Variations for Two-Factor Experiments 408
Analysis of Variance for Two-Factor Experiments 409
Two-Factor Experiments with Replication 410
Experimental Design 412
CHAPTER 17 Nonparametric tests 446
Introduction 446
The Sign Test 446
The Mann-Whitney U Test 447
The Kruskal-Wallis H Test 448
The H Test Corrected for Ties 448
The Runs Test for Randomness 449
Further Applications of the Runs Test 450
Spearman s Rank Correlation 450
CHAPTER 18 Statistical Process Control and Process Capability 480
General Discussion of Control Charts 480
Variables and Attributes Control Charts 481
JT-bar and R Charts 481
Tests for Special Causes 484
Process Capability 484
P- and AT-Charts 487
Other Control Charts 489
Answers to Supplementary Problems 505
Appendixes 559
I Ordinates (Y) of the Standard Normal Curve at z 561
II Areas Under the Standard Normal Curve from 0 to z 562
HI Percentile Values (tp) for Student s t Distribution with v Degrees of Freedom 563
IV Percentile Values {%],) for the Chi-Square Distribution with v Degrees of
Freedom 564
CONTENTS xix
V 95th Percentile Values for the F Distribution 565
VI 99th Percentile Values for the F Distribution 566
VII Four-Place Common Logarithms 567
VIII Values of e~x 569
IX Random Numbers 570
Index 571
|
| adam_txt |
Titel: Schaum's outline of theory and problems of statistics
Autor: Spiegel, Murray R.
Jahr: 2008
CHAPTER 1 Variables and Graphs 1
Statistics 1
Population and Sample; Inductive and Descriptive Statistics 1
Variables: Discrete and Continuous 1
Rounding of Data 2
Scientific Notation 2
Significant Figures 3
Computations 3
Functions 4
Rectangular Coordinates 4
Graphs 4
Equations 5
Inequalities 5
Logarithms 6
Properties of Logarithms 7
Logarithmic Equations 7
CHAPTER 2 Frequency Distributions 37
Raw Data 37
Arrays 37
Frequency Distributions 37
Class Intervals and Class Limits 38
Class Boundaries 38
The Size, or Width, of a Class Interval 38
The Class Mark 38
General Rules for Forming Frequency Distributions 38
Histograms and Frequency Polygons 39
Relative-Frequency Distributions 39
Cumulative-Frequency Distributions and Ogives 40
Relative Cumulative-Frequency Distributions and
Percentage Ogives 40
Frequency Curves and Smoothed Ogives 41
Types of Frequency Curves 41
CHAPTER 3 The Mean, Median, Mode, and Other Measures of
Central Tendency 61
Index, or Subscript, Notation 61
Summation Notation 61
Averages, or Measures of Central Tendency 62
xiv CONTENTS
The Arithmetic Mean 62
The Weighted Arithmetic Mean 62
Properties of the Arithmetic Mean 63
The Arithmetic Mean Computed from Grouped Data 63
The Median 64
The Mode 64
The Empirical Relation Between the Mean, Median, and Mode 64
The Geometric Mean G 65
The Harmonic Mean H 65
The Relation Between the Arithmetic, Geometric, and Harmonic
Means 66
The Root Mean Square 66
Quartiles, Deciles, and Percentiles 66
Software and Measures of Central Tendency 67
CHAPTER 4 The Standard Deviation and Other Measures of
Dispersion 95
Dispersion, or Variation 95
The Range 95
The Mean Deviation 95
The Semi-Interquartile Range 96
The 10-90 Percentile Range 96
The Standard Deviation 96
The Variance 97
Short Methods for Computing the Standard Deviation 97
Properties of the Standard Deviation 98
Charlier's Check 99
Sheppard's Correction for Variance 100
Empirical Relations Between Measures of Dispersion 100
Absolute and Relative Dispersion; Coefficient of Variation 100
Standardized Variable; Standard Scores 101
Software and Measures of Dispersion 101
CHAPTER 5 Moments, Skewness, and Kurtosis 123
Moments 123
Moments for Grouped Data 123
Relations Between Moments 124
Computation of Moments for Grouped Data 124
Charlier's Check and Sheppard's Corrections 124
Moments in Dimensionless Form 124
Skewness 125
Kurtosis 125
Population Moments, Skewness, and Kurtosis 126
Software Computation of Skewness and Kurtosis 126
CONTENTS xv
CHAPTER 6 Elementary Probability Theory 139
Definitions of Probability 139
Conditional Probability; Independent and
Dependent Events 140
Mutually Exclusive Events 141
Probability Distributions 142
Mathematical Expectation 144
Relation Between Population, Sample Mean, and Variance 144
Combinatorial Analysis 145
Combinations 146
Stirling's Approximation to n\ 146
Relation of Probability to Point Set Theory 146
Euler or Venn Diagrams and Probability 146
CHAPTER 7 The Binomial, Normal, and Poisson Distributions 172
The Binomial Distribution 172
The Normal Distribution 173
Relation Between the Binomial and Normal Distributions 174
The Poisson Distribution 175
Relation Between the Binomial and Poisson Distributions 176
The Multinomial Distribution 177
Fitting Theoretical Distributions to Sample Frequency
Distributions , 177
CHAPTER 8 Elementary Sampling Theory 203
Sampling Theory 203
Random Samples and Random Numbers 203
Sampling With and Without Replacement 204
Sampling Distributions 204
Sampling Distribution of Means 204
Sampling Distribution of Proportions 205
Sampling Distributions of Differences and Sums 205
Standard Errors 207
Software Demonstration of Elementary Sampling Theory 207
CHAPTER 9 Statistical Estimation Theory 227
Estimation of Parameters 227
Unbiased Estimates 227
Efficient Estimates 228
Point Estimates and Interval Estimates; Their Reliability 228
Confidence-Interval Estimates of Population Parameters 228
Probable Error 230
xvi CONTENTS
CHAPTER 10 Statistical Decision Theory 245
Statistical Decisions 245
Statistical Hypotheses 245
Tests of Hypotheses and Significance, or Decision Rules 246
Type I and Type II Errors 246
Level of Significance 246
Tests Involving Normal Distributions 246
Two-Tailed and One-Tailed Tests 247
Special Tests 248
Operating-Characteristic Curves; the Power of a Test 248
p-Values for Hypotheses Tests 248
Control Charts 249
Tests Involving Sample Differences 249
Tests Involving Binomial Distributions 250
CHAPTER 11 Small Sampling Theory 275
Small Samples 275
Student's t Distribution 275
Confidence Intervals 276
Tests of Hypotheses and Significance 277
The Chi-Square Distribution 277
Confidence Intervals for a 278
Degrees of Freedom 279
The F Distribution " 279
CHAPTER 12 The Chi-Square Test 294
Observed and Theoretical Frequencies 294
Definition of x2 294
Significance Tests 295
The Chi-Square Test for Goodness of Fit 295
Contingency Tables ' 296
Yates' Correction for Continuity 297
Simple Formulas for Computing %2 297
Coefficient of Contingency 298
Correlation of Attributes 298
Additive Property of x% 299
CHAPTER 13 Curve Fitting and the Method of Least Squares 316
Relationship Between Variables 316
Curve Fitting 316
Equations of Approximating Curves 317
Freehand Method of Curve Fitting 318
The Straight Line 318
The Method of Least Squares 319
CONTENTS xvii
The Least-Squares Line 319
Nonlinear Relationships 320
The Least-Squares Parabola 320
Regression 321
Applications to Time Series 321
Problems Involving More Than Two Variables 321
CHAPTER 14 Correlation Theory 345
Correlation and Regression 345
Linear Correlation 345
Measures of Correlation 346
The Least-Squares Regression Lines 346
Standard Error of Estimate 347
Explained and Unexplained Variation 348
Coefficient of Correlation 348
Remarks Concerning the Correlation Coefficient 349
Product-Moment Formula for the Linear
Correlation Coefficient 350
Short Computational Formulas 350
Regression Lines and the Linear Correlation Coefficient 351
Correlation of Time Series 351
Correlation of Attributes 351
Sampling Theory of Correlation 351
Sampling Theory of Regression 352
CHAPTER 15 Multiple and Partial Correlation 382
Multiple Correlation 382
Subscript Notation 382
Regression Equations and Regression Planes 382
Normal Equations for the Least-Squares Regression Plane 383
Regression Planes and Correlation Coefficients 383
Standard Error of Estimate 384
Coefficient of Multiple Correlation 384
Change of Dependent Variable 384
Generalizations to More Than Three Variables 385
Partial Correlation 385
Relationships Between Multiple and Partial Correlation
Coefficients 386
Nonlinear Multiple Regression 386
CHAPTER 16 Analysis of Variance 403
The Purpose of Analysis of Variance 403
One-Way Classification, or One-Factor Experiments 403
xviii CONTENTS
Total Variation, Variation Within Treatments, and Variation
Between Treatments 404
Shortcut Methods for Obtaining Variations 404
Mathematical Model for Analysis of Variance 405
Expected Values of the Variations 405
Distributions of the Variations 406
The F Test for the Null Hypothesis of Equal Means 406
Analysis-of-Variance Tables 406
Modifications for Unequal Numbers of Observations 407
Two-Way Classification, or Two-Factor Experiments 407
Notation for Two-Factor Experiments 408
Variations for Two-Factor Experiments 408
Analysis of Variance for Two-Factor Experiments 409
Two-Factor Experiments with Replication 410
Experimental Design 412
CHAPTER 17 Nonparametric tests 446
Introduction 446
The Sign Test 446
The Mann-Whitney U Test 447
The Kruskal-Wallis H Test 448
The H Test Corrected for Ties 448
The Runs Test for Randomness 449
Further Applications of the Runs Test 450
Spearman's Rank Correlation 450
CHAPTER 18 Statistical Process Control and Process Capability 480
General Discussion of Control Charts 480
Variables and Attributes Control Charts 481
JT-bar and R Charts 481
Tests for Special Causes 484
Process Capability 484
P- and AT-Charts 487
Other Control Charts 489
Answers to Supplementary Problems 505
Appendixes 559
I Ordinates (Y) of the Standard Normal Curve at z 561
II Areas Under the Standard Normal Curve from 0 to z 562
HI Percentile Values (tp) for Student's t Distribution with v Degrees of Freedom 563
IV Percentile Values {%],) for the Chi-Square Distribution with v Degrees of
Freedom 564
CONTENTS xix
V 95th Percentile Values for the F Distribution 565
VI 99th Percentile Values for the F Distribution 566
VII Four-Place Common Logarithms 567
VIII Values of e~x 569
IX Random Numbers 570
Index 571 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Spiegel, Murray R. 1923-1991 Stephens, Larry J. |
| author_GND | (DE-588)109314840 (DE-588)133654826 |
| author_facet | Spiegel, Murray R. 1923-1991 Stephens, Larry J. |
| author_role | aut aut |
| author_sort | Spiegel, Murray R. 1923-1991 |
| author_variant | m r s mr mrs l j s lj ljs |
| building | Verbundindex |
| bvnumber | BV022449706 |
| callnumber-first | Q - Science |
| callnumber-label | QA276 |
| callnumber-raw | QA276.19 |
| callnumber-search | QA276.19 |
| callnumber-sort | QA 3276.19 |
| callnumber-subject | QA - Mathematics |
| classification_rvk | QH 231 SK 840 |
| ctrlnum | (OCoLC)610662699 (DE-599)BVBBV022449706 |
| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| edition | 4. ed. |
| format | Book |
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| genre | (DE-588)4151278-9 Einführung gnd-content |
| genre_facet | Einführung |
| id | DE-604.BV022449706 |
| illustrated | Illustrated |
| index_date | 2024-07-02T17:35:55Z |
| indexdate | 2024-07-09T20:57:50Z |
| institution | BVB |
| isbn | 9780071485845 0071485848 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015657606 |
| oclc_num | 610662699 |
| open_access_boolean | |
| owner | DE-355 DE-BY-UBR DE-1050 |
| owner_facet | DE-355 DE-BY-UBR DE-1050 |
| physical | XIX, 577 S. Ill., graph. Darst. |
| publishDate | 2008 |
| publishDateSearch | 2008 |
| publishDateSort | 2008 |
| publisher | McGraw-Hill |
| record_format | marc |
| series2 | Schaum's outline series |
| spelling | Spiegel, Murray R. 1923-1991 Verfasser (DE-588)109314840 aut Schaum's outline of theory and problems of statistics Murray R. Spiegel ; Larry J. Stephens Theory and problems of statistics Statistics 4. ed. New York [u.a.] McGraw-Hill 2008 XIX, 577 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Schaum's outline series Mathematical statistics Outlines, syllabi, etc Mathematical statistics Problems, exercises, etc Statistics as Topic Outlines Statistics as Topic Problems and Exercises Wahrscheinlichkeit (DE-588)4137007-7 gnd rswk-swf Verteilungstheorie (DE-588)4133628-8 gnd rswk-swf Häufigkeit (DE-588)4259535-6 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf Theorie (DE-588)4059787-8 gnd rswk-swf Korrelation (DE-588)4165343-9 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf (DE-588)4151278-9 Einführung gnd-content Statistik (DE-588)4056995-0 s Theorie (DE-588)4059787-8 s DE-604 Wahrscheinlichkeit (DE-588)4137007-7 s 1\p DE-604 Häufigkeit (DE-588)4259535-6 s 2\p DE-604 Stichprobe (DE-588)4057502-0 s 3\p DE-604 Korrelation (DE-588)4165343-9 s 4\p DE-604 Verteilungstheorie (DE-588)4133628-8 s 5\p DE-604 Stephens, Larry J. Verfasser (DE-588)133654826 aut HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015657606&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Spiegel, Murray R. 1923-1991 Stephens, Larry J. Schaum's outline of theory and problems of statistics Mathematical statistics Outlines, syllabi, etc Mathematical statistics Problems, exercises, etc Statistics as Topic Outlines Statistics as Topic Problems and Exercises Wahrscheinlichkeit (DE-588)4137007-7 gnd Verteilungstheorie (DE-588)4133628-8 gnd Häufigkeit (DE-588)4259535-6 gnd Stichprobe (DE-588)4057502-0 gnd Theorie (DE-588)4059787-8 gnd Korrelation (DE-588)4165343-9 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4137007-7 (DE-588)4133628-8 (DE-588)4259535-6 (DE-588)4057502-0 (DE-588)4059787-8 (DE-588)4165343-9 (DE-588)4056995-0 (DE-588)4151278-9 |
| title | Schaum's outline of theory and problems of statistics |
| title_alt | Theory and problems of statistics Statistics |
| title_auth | Schaum's outline of theory and problems of statistics |
| title_exact_search | Schaum's outline of theory and problems of statistics |
| title_exact_search_txtP | Schaum's outline of theory and problems of statistics |
| title_full | Schaum's outline of theory and problems of statistics Murray R. Spiegel ; Larry J. Stephens |
| title_fullStr | Schaum's outline of theory and problems of statistics Murray R. Spiegel ; Larry J. Stephens |
| title_full_unstemmed | Schaum's outline of theory and problems of statistics Murray R. Spiegel ; Larry J. Stephens |
| title_short | Schaum's outline of theory and problems of statistics |
| title_sort | schaum s outline of theory and problems of statistics |
| topic | Mathematical statistics Outlines, syllabi, etc Mathematical statistics Problems, exercises, etc Statistics as Topic Outlines Statistics as Topic Problems and Exercises Wahrscheinlichkeit (DE-588)4137007-7 gnd Verteilungstheorie (DE-588)4133628-8 gnd Häufigkeit (DE-588)4259535-6 gnd Stichprobe (DE-588)4057502-0 gnd Theorie (DE-588)4059787-8 gnd Korrelation (DE-588)4165343-9 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Mathematical statistics Outlines, syllabi, etc Mathematical statistics Problems, exercises, etc Statistics as Topic Outlines Statistics as Topic Problems and Exercises Wahrscheinlichkeit Verteilungstheorie Häufigkeit Stichprobe Theorie Korrelation Statistik Einführung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015657606&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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