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Anatomy and Physiology of Domestic Animals, Second Edition offers a detailed introduction to the foundations of anatomy and physiology in a wide range of domestic species. Well illustrated throughout, the book provides in-depth information on the guiding principles of this key area of study for animal science students, fostering a thorough understanding of the complex make-up of domestic animals. This Second Edition includes access to supplementary material online, including images and tables available for download in PowerPoint, a test bank of questions for instructors, and self-study…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 684
- Erscheinungstermin: 5. September 2013
- Englisch
- ISBN-13: 9781118688663
- Artikelnr.: 39482191
- Verlag: John Wiley & Sons
- Seitenzahl: 684
- Erscheinungstermin: 5. September 2013
- Englisch
- ISBN-13: 9781118688663
- Artikelnr.: 39482191
Chapter 1. Introduction to Anatomy and Physiology 3 Chapter 2. The Cell:
The Common Physiological Denominator 11 Chapter 3. Fundamental Biochemical
Pathways and Processes in Cellular Physiology 57 Chapter 4. Tissue
Structure and Organization 85 Chapter 5. Integumentary System 121 Chapter
6. Bones and Skeletal System 139 Chapter 7. Muscular Tissue 179 Chapter 8.
Introduction to the Nervous System 215 Chapter 9. Central Nervous System
241 Chapter 10. Peripheral and Autonomic Nervous System 265 Chapter 11.
Special Senses 297 Chapter 12. Endocrine System 323 Chapter 13.
Cardiovascular System 375 Chapter 14. Respiratory System 417 Chapter 15.
Immunity 441 Chapter 16. Urinary System 459 Chapter 17. Digestive System
483 Chapter 18. Lactation 529 Chapter 19. Reproduction 557 Glossary 591
Index 633 11183570193ENPREFACE ix PART 1 GETTING STARTED WITH IBM SPSS(r) 1
CHAPTER 1 INTRODUCTION TO IBM SPSS(r) 3 CHAPTER 2 ENTERING DATA IN IBM
SPSS(r) 5 CHAPTER 3 IMPORTING DATA FROM EXCEL TO IBM SPSS(r) 15 PART 2
OBTAINING, EDITING, AND SAVING STATISTICAL OUTPUT 19 CHAPTER 4 PERFORMING
STATISTICAL PROCEDURES IN IBM SPSS(r) 21 CHAPTER 5 EDITING OUTPUT 27
CHAPTER 6 SAVING AND COPYING OUTPUT 31 PART 3 MANIPULATING DATA 37 CHAPTER
7 SORTING AND SELECTING CASES 39 CHAPTER 8 SPLITTING DATA FILES 45 CHAPTER
9 MERGING DATA FROM SEPARATE FILES 51 PART 4 DESCRIPTIVE STATISTICS
PROCEDURES 57 CHAPTER 10 FREQUENCIES 59 CHAPTER 11 DESCRIPTIVES 67 CHAPTER
12 EXPLORE 71 PART 5 SIMPLE DATA TRANSFORMATIONS 77 CHAPTER 13
STANDARDIZING VARIABLES TO Z SCORES 79 CHAPTER 14 RECODING VARIABLES 83
CHAPTER 15 VISUAL BINNING 97 CHAPTER 16 COMPUTING NEW VARIABLES 103 CHAPTER
17 TRANSFORMING DATES TO AGE 111 PART 6 EVALUATING SCORE DISTRIBUTION
ASSUMPTIONS 121 CHAPTER 18 DETECTING UNIVARIATE OUTLIERS 123 CHAPTER 19
DETECTING MULTIVARIATE OUTLIERS 131 CHAPTER 20 ASSESSING DISTRIBUTION
SHAPE: NORMALITY, SKEWNESS, AND KURTOSIS 139 CHAPTER 21 TRANSFORMING DATA
TO REMEDY STATISTICAL ASSUMPTION VIOLATIONS 147 PART 7 BIVARIATE
CORRELATION 157 CHAPTER 22 PEARSON CORRELATION 159 CHAPTER 23 SPEARMAN RHO
AND KENDALL TAU-B RANK-ORDER CORRELATIONS 165 PART 8 REGRESSING
(PREDICTING) QUANTITATIVE VARIABLES 171 CHAPTER 24 SIMPLE LINEAR REGRESSION
173 CHAPTER 25 CENTERING THE PREDICTOR VARIABLE IN SIMPLE LINEAR REGRESSION
181 CHAPTER 26 MULTIPLE LINEAR REGRESSION 191 CHAPTER 27 HIERARCHICAL
LINEAR REGRESSION 211 CHAPTER 28 POLYNOMIAL REGRESSION 217 CHAPTER 29
MULTILEVEL MODELING 225 PART 9 REGRESSING (PREDICTING) CATEGORICAL
VARIABLES 253 CHAPTER 30 BINARY LOGISTIC REGRESSION 255 CHAPTER 31 ROC
ANALYSIS 265 CHAPTER 32 MULTINOMINAL LOGISTIC REGRESSION 273 PART 10
SURVIVAL ANALYSIS 281 CHAPTER 33 SURVIVAL ANALYSIS: LIFE TABLES 283 CHAPTER
34 THE KAPLAN-MEIER SURVIVAL ANALYSIS 289 CHAPTER 35 COX REGRESSION 301
PART 11 RELIABILITY AS A GAUGE OF MEASUREMENT QUALITY 309 CHAPTER 36
RELIABILITY ANALYSIS: INTERNAL CONSISTENCY 311 CHAPTER 37 RELIABILITY
ANALYSIS: ASSESSING RATER CONSISTENCY 319 PART 12 ANALYSIS OF STRUCTURE 329
CHAPTER 38 PRINCIPAL COMPONENTS AND FACTOR ANALYSIS 331 CHAPTER 39
CONFIRMATORY FACTOR ANALYSIS 353 PART 13 EVALUATING CAUSAL (PREDICTIVE)
MODELS 379 CHAPTER 40 SIMPLE MEDIATION 381 CHAPTER 41 PATH ANALYSIS USING
MULTIPLE REGRESSION 389 CHAPTER 42 PATH ANALYSIS USING STRUCTURAL EQUATION
MODELING 397 CHAPTER 43 STRUCTURAL EQUATION MODELING 419 PART 14 t TEST 457
CHAPTER 44 ONE-SAMPLE t TEST 459 CHAPTER 45 INDEPENDENT-SAMPLES t TEST 463
CHAPTER 46 PAIRED-SAMPLES t TEST 471 PART 15 UNIVARIATE GROUP DIFFERENCES:
ANOVA AND ANCOVA 475 CHAPTER 47 ONE-WAY BETWEEN-SUBJECTS ANOVA 477 CHAPTER
48 POLYNOMIAL TREND ANALYSIS 485 CHAPTER 49 ONE-WAY BETWEEN-SUBJECTS ANCOVA
493 CHAPTER 50 TWO-WAY BETWEEN-SUBJECTS ANOVA 507 CHAPTER 51 ONE-WAY
WITHIN-SUBJECTS ANOVA 521 CHAPTER 52 REPEATED MEASURES USING LINEAR MIXED
MODELS 531 CHAPTER 53 TWO-WAY MIXED ANOVA 555 PART 16 MULTIVARIATE GROUP
DIFFERENCES: MANOVA AND DISCRIMINANT FUNCTION ANALYSIS 567 CHAPTER 54
ONE-WAY BETWEEN-SUBJECTS MANOVA 569 CHAPTER 55 DISCRIMINANT FUNCTION
ANALYSIS 579 CHAPTER 56 TWO-WAY BETWEEN-SUBJECTS MANOVA 591 PART 17
MULTIDIMENSIONAL SCALING 603 CHAPTER 57 MULTIDIMENSIONAL SCALING: CLASSICAL
METRIC 605 CHAPTER 58 MULTIDIMENSIONAL SCALING: METRIC WEIGHTED 613 PART 18
CLUSTER ANALYSIS 621 CHAPTER 59 HIERARCHICAL CLUSTER ANALYSIS 623 CHAPTER
60 K-MEANS CLUSTER ANALYSIS 631 PART 19 NONPARAMETRIC PROCEDURES FOR
ANALYZING FREQUENCY DATA 643 CHAPTER 61 SINGLE-SAMPLE BINOMIAL AND
CHI-SQUARE TESTS: BINARY CATEGORIES 645 CHAPTER 62 SINGLE-SAMPLE (ONE-WAY)
MULTINOMINAL CHI-SQUARE TESTS 655 CHAPTER 63 TWO-WAY CHI-SQUARE TEST OF
INDEPENDENCE 665 CHAPTER 64 RISK ANALYSIS 675 CHAPTER 65 CHI-SQUARE LAYERS
681 CHAPTER 66 HIERARCHICAL LOGLINEAR ANALYSIS 689 APPENDIX STATISTICS
TABLES 699 REFERENCES 703 AUTHOR INDEX 713 SUBJECT INDEX 715
Chapter 1. Introduction to Anatomy and Physiology 3 Chapter 2. The Cell:
The Common Physiological Denominator 11 Chapter 3. Fundamental Biochemical
Pathways and Processes in Cellular Physiology 57 Chapter 4. Tissue
Structure and Organization 85 Chapter 5. Integumentary System 121 Chapter
6. Bones and Skeletal System 139 Chapter 7. Muscular Tissue 179 Chapter 8.
Introduction to the Nervous System 215 Chapter 9. Central Nervous System
241 Chapter 10. Peripheral and Autonomic Nervous System 265 Chapter 11.
Special Senses 297 Chapter 12. Endocrine System 323 Chapter 13.
Cardiovascular System 375 Chapter 14. Respiratory System 417 Chapter 15.
Immunity 441 Chapter 16. Urinary System 459 Chapter 17. Digestive System
483 Chapter 18. Lactation 529 Chapter 19. Reproduction 557 Glossary 591
Index 633 11183570193ENPREFACE ix PART 1 GETTING STARTED WITH IBM SPSS(r) 1
CHAPTER 1 INTRODUCTION TO IBM SPSS(r) 3 CHAPTER 2 ENTERING DATA IN IBM
SPSS(r) 5 CHAPTER 3 IMPORTING DATA FROM EXCEL TO IBM SPSS(r) 15 PART 2
OBTAINING, EDITING, AND SAVING STATISTICAL OUTPUT 19 CHAPTER 4 PERFORMING
STATISTICAL PROCEDURES IN IBM SPSS(r) 21 CHAPTER 5 EDITING OUTPUT 27
CHAPTER 6 SAVING AND COPYING OUTPUT 31 PART 3 MANIPULATING DATA 37 CHAPTER
7 SORTING AND SELECTING CASES 39 CHAPTER 8 SPLITTING DATA FILES 45 CHAPTER
9 MERGING DATA FROM SEPARATE FILES 51 PART 4 DESCRIPTIVE STATISTICS
PROCEDURES 57 CHAPTER 10 FREQUENCIES 59 CHAPTER 11 DESCRIPTIVES 67 CHAPTER
12 EXPLORE 71 PART 5 SIMPLE DATA TRANSFORMATIONS 77 CHAPTER 13
STANDARDIZING VARIABLES TO Z SCORES 79 CHAPTER 14 RECODING VARIABLES 83
CHAPTER 15 VISUAL BINNING 97 CHAPTER 16 COMPUTING NEW VARIABLES 103 CHAPTER
17 TRANSFORMING DATES TO AGE 111 PART 6 EVALUATING SCORE DISTRIBUTION
ASSUMPTIONS 121 CHAPTER 18 DETECTING UNIVARIATE OUTLIERS 123 CHAPTER 19
DETECTING MULTIVARIATE OUTLIERS 131 CHAPTER 20 ASSESSING DISTRIBUTION
SHAPE: NORMALITY, SKEWNESS, AND KURTOSIS 139 CHAPTER 21 TRANSFORMING DATA
TO REMEDY STATISTICAL ASSUMPTION VIOLATIONS 147 PART 7 BIVARIATE
CORRELATION 157 CHAPTER 22 PEARSON CORRELATION 159 CHAPTER 23 SPEARMAN RHO
AND KENDALL TAU-B RANK-ORDER CORRELATIONS 165 PART 8 REGRESSING
(PREDICTING) QUANTITATIVE VARIABLES 171 CHAPTER 24 SIMPLE LINEAR REGRESSION
173 CHAPTER 25 CENTERING THE PREDICTOR VARIABLE IN SIMPLE LINEAR REGRESSION
181 CHAPTER 26 MULTIPLE LINEAR REGRESSION 191 CHAPTER 27 HIERARCHICAL
LINEAR REGRESSION 211 CHAPTER 28 POLYNOMIAL REGRESSION 217 CHAPTER 29
MULTILEVEL MODELING 225 PART 9 REGRESSING (PREDICTING) CATEGORICAL
VARIABLES 253 CHAPTER 30 BINARY LOGISTIC REGRESSION 255 CHAPTER 31 ROC
ANALYSIS 265 CHAPTER 32 MULTINOMINAL LOGISTIC REGRESSION 273 PART 10
SURVIVAL ANALYSIS 281 CHAPTER 33 SURVIVAL ANALYSIS: LIFE TABLES 283 CHAPTER
34 THE KAPLAN-MEIER SURVIVAL ANALYSIS 289 CHAPTER 35 COX REGRESSION 301
PART 11 RELIABILITY AS A GAUGE OF MEASUREMENT QUALITY 309 CHAPTER 36
RELIABILITY ANALYSIS: INTERNAL CONSISTENCY 311 CHAPTER 37 RELIABILITY
ANALYSIS: ASSESSING RATER CONSISTENCY 319 PART 12 ANALYSIS OF STRUCTURE 329
CHAPTER 38 PRINCIPAL COMPONENTS AND FACTOR ANALYSIS 331 CHAPTER 39
CONFIRMATORY FACTOR ANALYSIS 353 PART 13 EVALUATING CAUSAL (PREDICTIVE)
MODELS 379 CHAPTER 40 SIMPLE MEDIATION 381 CHAPTER 41 PATH ANALYSIS USING
MULTIPLE REGRESSION 389 CHAPTER 42 PATH ANALYSIS USING STRUCTURAL EQUATION
MODELING 397 CHAPTER 43 STRUCTURAL EQUATION MODELING 419 PART 14 t TEST 457
CHAPTER 44 ONE-SAMPLE t TEST 459 CHAPTER 45 INDEPENDENT-SAMPLES t TEST 463
CHAPTER 46 PAIRED-SAMPLES t TEST 471 PART 15 UNIVARIATE GROUP DIFFERENCES:
ANOVA AND ANCOVA 475 CHAPTER 47 ONE-WAY BETWEEN-SUBJECTS ANOVA 477 CHAPTER
48 POLYNOMIAL TREND ANALYSIS 485 CHAPTER 49 ONE-WAY BETWEEN-SUBJECTS ANCOVA
493 CHAPTER 50 TWO-WAY BETWEEN-SUBJECTS ANOVA 507 CHAPTER 51 ONE-WAY
WITHIN-SUBJECTS ANOVA 521 CHAPTER 52 REPEATED MEASURES USING LINEAR MIXED
MODELS 531 CHAPTER 53 TWO-WAY MIXED ANOVA 555 PART 16 MULTIVARIATE GROUP
DIFFERENCES: MANOVA AND DISCRIMINANT FUNCTION ANALYSIS 567 CHAPTER 54
ONE-WAY BETWEEN-SUBJECTS MANOVA 569 CHAPTER 55 DISCRIMINANT FUNCTION
ANALYSIS 579 CHAPTER 56 TWO-WAY BETWEEN-SUBJECTS MANOVA 591 PART 17
MULTIDIMENSIONAL SCALING 603 CHAPTER 57 MULTIDIMENSIONAL SCALING: CLASSICAL
METRIC 605 CHAPTER 58 MULTIDIMENSIONAL SCALING: METRIC WEIGHTED 613 PART 18
CLUSTER ANALYSIS 621 CHAPTER 59 HIERARCHICAL CLUSTER ANALYSIS 623 CHAPTER
60 K-MEANS CLUSTER ANALYSIS 631 PART 19 NONPARAMETRIC PROCEDURES FOR
ANALYZING FREQUENCY DATA 643 CHAPTER 61 SINGLE-SAMPLE BINOMIAL AND
CHI-SQUARE TESTS: BINARY CATEGORIES 645 CHAPTER 62 SINGLE-SAMPLE (ONE-WAY)
MULTINOMINAL CHI-SQUARE TESTS 655 CHAPTER 63 TWO-WAY CHI-SQUARE TEST OF
INDEPENDENCE 665 CHAPTER 64 RISK ANALYSIS 675 CHAPTER 65 CHI-SQUARE LAYERS
681 CHAPTER 66 HIERARCHICAL LOGLINEAR ANALYSIS 689 APPENDIX STATISTICS
TABLES 699 REFERENCES 703 AUTHOR INDEX 713 SUBJECT INDEX 715