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Displaying a progress indicator (three techniques) Creating a wizard: an interactive series of dialog boxes Creating a function that emulates VBA s MsgBox function Using modeless UserForms Handling multiple objects with a single event-handler Using a dialog box to select a color Displaying cell information in a UserForm Displaying a chart in a UserForm (two techniques) Displaying a complete spreadsheet in a UserForm Using an enhanced data form

Federer, W T, 11 Feinberg, T E, 295 Fekken, G C, 388 Feldman-Barrett, L, 352, 354, 355, 362, 363, 364, 365, 372, 410, 412, 423 Feldt, L S, 127, 429, 649 Felmlee, D, 559 Felten, D L, 256 Feng, D, 651, 652, 654 Feng, Z, 250 Fennell, M, 218 Fergusson, D M, 558, 559 Fernholz, L T, 34 Ferrandez, A M, 305 Ferrari, P, 312 Ferrer-Caja, E, 464, 469, 476 Feshbach, S, 487, 494, 503 Fetterman, D M, 342, 343 Fidell, L S, 115, 118, 125, 126, 127, 128, 129, 130, 131, 132, 133, 136, 137, 138, 139, 140, 420 Fidler, P L, 668, 669, 675, 681 Fiester, S J, 222 Figiel, G, 299 Figiel, L, 299 Filion, D L, 305 Finch, J F.

Computer software, such as a spreadsheet program, makes the budgeting process much easier. Although there are forecasting computer packages available, a spreadsheet can perform the necessary moving average and regression analysis calculations. Spreadsheets can build in regression analysis formulas. For example, the calculations required in Exhibit 9.6 and all the subsequent calculations were produced using a spreadsheet. A spreadsheet can also compare budgeted figures with actual ones and produce the variances. They can be used to produce graphs that present the forecast, actual, and variance information.

, 626, 627 Fingleton, B, 415, 419, 420 Finn, P, 203 Finney, D J, 21, 25 First, M B, 228 Fischer, G, 439, 442, 443 Fischer, G H, 470, 476, 636 Fischer, M, 300 Fischler, I S, 310 Fisher, C D, 548 Fisher, L, 173 Fisher, L A, 248 Fisher, R A, 4, 13, 38, 49, 52, 537 Fiske, D W, 379, 380, 402, 403, 421, 433 Fiske, S T, 328 Fitzgerald, M E, 312 Flaherty, 280 Flaherty, B P, 622, 669, 681 Flaherty, V L, 157 Flannery, W P, 441 Flannery-Schroeder, E C, 249, 250, 258, 260, 263 Flay, B R, 564 Fleiss, J L, 177 Fleming, M P, 261 Fletcher, J M, 300, 312 Flick, S N, 250 Fligner, M A.

Here i( ) takes on 2nR values. What is the rate distortion function R(D1 , D2 ) 10.20 Rate distortion. Consider the standard rate distortion problem, Xi i.i.d. p(x), X n i(X n ) X n , |i( )| = 2nR . Consider two distortion criteria d1 (x, x) and d2 (x, x). Suppose that d1 (x, x) . Let R1 (D) and R2 (D) be the cord2 (x, x) for all x X, x X responding rate distortion functions. (a) Find the inequality relationship between R1 (D) and R2 (D). (b) Suppose that we must describe the source {Xi } at the mini n n mum rate R achieving d1 (X n , X1 ) D and d2 (X n , X2 ) D. Thus, n X1 (i(X n )) n n X i(X ) n X2 (i(X n )) and |i( )| = 2nR . Find the minimum rate R.

1957 1967:

, 74 Flinn, C J, 561 Flowers, D L, 305 Floyd, F, 205 Fodor, J A, 290, 293, 294 Fojo, T, 182 Follette, W C, 232, 233 Folstein, M, 294 Fontaire, J, 383 Ford, J D, 249, 250, 258, 260, 263 Forensic Psychology Specialty Council, 189 Forgays, D G, 302 Fornace, A J, 182 Forrester, G M, 291 Forth, A, 202 Foss, M A, 352.