Statistics in Action

Table of contents

1. Front Cover
2. Contents (1/2)
3. Contents (2/2)
4. Foreword
5. Preface
6. About the Editor
7. Contributors
8. Chapter 1: Canadians Studying Abroad and the Development of Statistics in Canada (1/4)
9. Chapter 1: Canadians Studying Abroad and the Development of Statistics in Canada (2/4)
10. Chapter 1: Canadians Studying Abroad and the Development of Statistics in Canada (3/4)
11. Chapter 1: Canadians Studying Abroad and the Development of Statistics in Canada (4/4)
12. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (1/6)
13. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (2/6)
14. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (3/6)
15. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (4/6)
16. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (5/6)
17. Chapter 2: Some of Statistics Canada’s Contributions to Survey Methodology (6/6)
18. Chapter 3: Watching Children Grow Taught Us All We Know (1/3)
19. Chapter 3: Watching Children Grow Taught Us All We Know (2/3)
20. Chapter 3: Watching Children Grow Taught Us All We Know (3/3)
21. Chapter 4: Modeling Dependence beyond Correlation (1/4)
22. Chapter 4: Modeling Dependence beyond Correlation (2/4)
23. Chapter 4: Modeling Dependence beyond Correlation (3/4)
24. Chapter 4: Modeling Dependence beyond Correlation (4/4)
25. Chapter 5: Lasso and Sparsity in Statistics (1/3)
26. Chapter 5: Lasso and Sparsity in Statistics (2/3)
27. Chapter 5: Lasso and Sparsity in Statistics (3/3)
28. Chapter 6: Optimizing and Adapting the Metropolis Algorithm (1/4)
29. Chapter 6: Optimizing and Adapting the Metropolis Algorithm (2/4)
30. Chapter 6: Optimizing and Adapting the Metropolis Algorithm (3/4)
31. Chapter 6: Optimizing and Adapting the Metropolis Algorithm (4/4)
32. Chapter 7: Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives (1/4)
33. Chapter 7: Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives (2/4)
34. Chapter 7: Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives (3/4)
35. Chapter 7: Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives (4/4)
36. Chapter 8: Statistical Genetic Modeling and Analysis of Complex Traits (1/5)
37. Chapter 8: Statistical Genetic Modeling and Analysis of Complex Traits (2/5)
38. Chapter 8: Statistical Genetic Modeling and Analysis of Complex Traits (3/5)
39. Chapter 8: Statistical Genetic Modeling and Analysis of Complex Traits (4/5)
40. Chapter 8: Statistical Genetic Modeling and Analysis of Complex Traits (5/5)
41. Chapter 9: Bayesian Methods in Fisher’s Statistical Genetics World (1/4)
42. Chapter 9: Bayesian Methods in Fisher’s Statistical Genetics World (2/4)
43. Chapter 9: Bayesian Methods in Fisher’s Statistical Genetics World (3/4)
44. Chapter 9: Bayesian Methods in Fisher’s Statistical Genetics World (4/4)
45. Chapter 10: Bayesian Statistical Methodology for Observational Health Sciences Data (1/3)
46. Chapter 10: Bayesian Statistical Methodology for Observational Health Sciences Data (2/3)
47. Chapter 10: Bayesian Statistical Methodology for Observational Health Sciences Data (3/3)
48. Chapter 11: Statistical Models for Disease Processes:Markers and Skeletal Complications in Cancer Metastatic to Bone (1/4)
49. Chapter 11: Statistical Models for Disease Processes:Markers and Skeletal Complications in Cancer Metastatic to Bone (2/4)
50. Chapter 11: Statistical Models for Disease Processes:Markers and Skeletal Complications in Cancer Metastatic to Bone (3/4)
51. Chapter 11: Statistical Models for Disease Processes:Markers and Skeletal Complications in Cancer Metastatic to Bone (4/4)
52. Chapter 12: Analysis of Biased Survival Data: The Canadian Study of Health and Aging andbeyond (1/4)
53. Chapter 12: Analysis of Biased Survival Data: The Canadian Study of Health and Aging andbeyond (2/4)
54. Chapter 12: Analysis of Biased Survival Data: The Canadian Study of Health and Aging andbeyond (3/4)
55. Chapter 12: Analysis of Biased Survival Data: The Canadian Study of Health and Aging andbeyond (4/4)
56. Chapter 13: Assessing the Effect on Survival of Kidney Transplantation with Higher-Risk Donor Kidneys (1/4)
57. Chapter 13: Assessing the Effect on Survival of Kidney Transplantation with Higher-Risk Donor Kidneys (2/4)
58. Chapter 13: Assessing the Effect on Survival of Kidney Transplantation with Higher-Risk Donor Kidneys (3/4)
59. Chapter 13: Assessing the Effect on Survival of Kidney Transplantation with Higher-Risk Donor Kidneys (4/4)
60. Chapter 14: Risk-Adjusted Monitoring of Outcomes in Health Care (1/4)
61. Chapter 14: Risk-Adjusted Monitoring of Outcomes in Health Care (2/4)
62. Chapter 14: Risk-Adjusted Monitoring of Outcomes in Health Care (3/4)
63. Chapter 14: Risk-Adjusted Monitoring of Outcomes in Health Care (4/4)
64. Chapter 15: Statistics in Financial Engineering (1/4)
65. Chapter 15: Statistics in Financial Engineering (2/4)
66. Chapter 15: Statistics in Financial Engineering (3/4)
67. Chapter 15: Statistics in Financial Engineering (4/4)
68. Chapter 16: Making Personalized Recommendations in E-Commerce (1/2)
69. Chapter 16: Making Personalized Recommendations in E-Commerce (2/2)
70. Chapter 17: What Do Salmon and Injection Drug Users Have in Common? (1/4)
71. Chapter 17: What Do Salmon and Injection Drug Users Have in Common? (2/4)
72. Chapter 17: What Do Salmon and Injection Drug Users Have in Common? (3/4)
73. Chapter 17: What Do Salmon and Injection Drug Users Have in Common? (4/4)
74. Chapter 18: Capture–Recapture Methods for Estimating the Size of a Population: Dealing with Variable Capture Probabilities (1/4)
75. Chapter 18: Capture–Recapture Methods for Estimating the Size of a Population: Dealing with Variable Capture Probabilities (2/4)
76. Chapter 18: Capture–Recapture Methods for Estimating the Size of a Population: Dealing with Variable Capture Probabilities (3/4)
77. Chapter 18: Capture–Recapture Methods for Estimating the Size of a Population: Dealing with Variable Capture Probabilities (4/4)
78. Chapter 19: Challenges in Statistical Marine Ecology (1/4)
79. Chapter 19: Challenges in Statistical Marine Ecology (2/4)
80. Chapter 19: Challenges in Statistical Marine Ecology (3/4)
81. Chapter 19: Challenges in Statistical Marine Ecology (4/4)
82. Chapter 20: Quantifying the Human and Natural Contributions to Observed Climate Change (1/4)
83. Chapter 20: Quantifying the Human and Natural Contributions to Observed Climate Change (2/4)
84. Chapter 20: Quantifying the Human and Natural Contributions to Observed Climate Change (3/4)
85. Chapter 20: Quantifying the Human and Natural Contributions to Observed Climate Change (4/4)
86. Chapter 21: Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridged by Statistics (1/4)
87. Chapter 21: Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridged by Statistics (2/4)
88. Chapter 21: Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridged by Statistics (3/4)
89. Chapter 21: Data Hungry Models in a Food Hungry World: An Interdisciplinary Challenge Bridged by Statistics (4/4)
90. Back Cover