Statistics for Economics
Autor Steven Prouden Limba Engleză Paperback – 30 iun 2026
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Specificații
ISBN-13: 9780198821038
ISBN-10: 0198821034
Pagini: 936
Dimensiuni: 188 x 245 x 50 mm
Greutate: 1.73 kg
Ediția:1
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
ISBN-10: 0198821034
Pagini: 936
Dimensiuni: 188 x 245 x 50 mm
Greutate: 1.73 kg
Ediția:1
Editura: OUP OXFORD
Colecția OUP Oxford
Locul publicării:Oxford, United Kingdom
Recenzii
Some of the really difficult topics were explained so well and made them so easy to understand. Examples are clever, fun, and trendy. The writing overall is very friendly, you could call it a very approachable book
I like the direct practical approach used to explain concepts based on real-life examples.
[E]xceptional and very engaging. Concepts are clearly explained and the writing never loses focus from the information that is conveyed to the reader.
The lecturer resources are spot-on and very useful.
The material is very well-presented with lots of "under the bonnet" style explanations. Good use of visual aids to assist reader understanding. Good blend of statistics and econometrics, with a logical sequencing.
I like the direct practical approach used to explain concepts based on real-life examples.
[E]xceptional and very engaging. Concepts are clearly explained and the writing never loses focus from the information that is conveyed to the reader.
The lecturer resources are spot-on and very useful.
The material is very well-presented with lots of "under the bonnet" style explanations. Good use of visual aids to assist reader understanding. Good blend of statistics and econometrics, with a logical sequencing.
Notă biografică
Steven Proud is Professor of Economics Education and Director of Undergraduate Studies at the University of Bristol School of Economics.
Cuprins
- 1: Introduction
- 2: Conditional probabilities, joint probabilities, and the chain rule of probability
- 3: Joint probability distributions and Bayes' Rule
- 4: Independent random variables
- 5: Combinations and permutations
- 6: Sample averages
- 7: Expectations and population averages
- 8: Continuous random variables
- 9: Conditional expectations and the law of iterated expectations
- 10: Shapes of distributions: variations, skew and kurtosis
- 11: Correlations and covariances
- 12: Simple distributions: Uniform and binomial distributions
- 13: The Normal Distribution
- 14: Introduction to estimators
- 15: What makes a good estimator? Efficiency and consistency of estimators
- 16: An introduction to statistical testing
- 17: Errors in statistical testing
- 18: The t-distribution, confidence intervals, and more on testing
- 19: Testing relating to proportions of the population
- 20: Further testing: equality of means
- 21: Distributions derived from the Normal Distribution
- 22: Analysis of Variance, or ANOVA
- 23: Introduction to Ordinary Least Squares
- 24: Is the OLS estimator unbiased and consistent?
- 25: Causes of bias and inconsistency in OLS
- 26: Constructing the variance of the OLS estimator
- 27: Testing hypotheses with OLS
- 28: Multivariate regressions
- 29: Dummy variables and F-tests
- 30: Logs, polynomials and other non-linear relationships
- 31: Causality and estimating causal relationships
- 32: A brief introduction to big data